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Paper Citation Record · LEDGER

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage

As of 15 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 1 inbound Pith citation observation for arXiv:2507.16872.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.16872 v1

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:18:32.938601Z

measured 90 of 90 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:28:36.749900Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

89 of 89 outbound references displayed

  • verified exact1
  • verified fuzzy52
  • unresolved34
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3d9d630-6dd0-4104-837a-0d0d748a8c9e · outbound

This paper cites Deep learning based caching for self-driving cars in multi-access edge com- puting,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Deep learning based caching for self-driving cars in multi-access edge com- puting,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 16e5fbbf-f254-494c-a755-6331a3133267 · outbound

This paper cites Highly accurate protein structure prediction with alphafold,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Highly accurate protein structure prediction with alphafold,

Reference 2

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Observation 49823777-5c81-439c-ab94-f0c2cf3e1faa · outbound

This paper cites What chatgpt and generative ai mean for science,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage What chatgpt and generative ai mean for science,

Reference 3

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Observation f03b22bd-05d5-49d4-91c9-7f20dd49a6a8 · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Diffusion models: A comprehensive survey of methods and applications,

Reference 4

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source=pdf_text observed=2026-08-06T15:18:21.581646Z digest=sha256:31c2b21b7ee3a6b4557dc57fc0ab84bb81153c96a2a9a17c6ddbde9bead4128a

Observation 8718efe8-205b-4407-9ebb-935982bb3bb0 · outbound

This paper cites Model compression and acceleration for deep neural networks: The principles, progress, and challenges,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Model compression and acceleration for deep neural networks: The principles, progress, and challenges,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:21.739540Z digest=sha256:685053d218daa355092675c04a87663e0a659cbb1b510ced67404dd20b178d68

Observation 51dae251-14ad-4f18-98b3-f20722b2e651 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:21.847001Z digest=sha256:6d4e02fe6db28de69269ba6b29e276c075f9ff4a7e05374d4d463d063b2998e5

Observation a5a14d3c-91f1-498b-8e99-7836c907e4fc · outbound

This paper cites A com- prehensive survey on model compression and acceleration,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage A com- prehensive survey on model compression and acceleration,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:21.957163Z digest=sha256:2e34d7f80814ed25cf731819e0cdd8fe65ff086c12faad79f1c47c3e5fd7016f

Observation 96e16c02-1bcb-4908-b1de-06d6bd342f75 · outbound

This paper cites Sparse double descent: Where network pruning aggravates overfitting,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Sparse double descent: Where network pruning aggravates overfitting,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 357eea9f-4733-4f13-acda-e15a6b53b615 · outbound

This paper cites Spar- sity in deep learning: Pruning and growth for efficient inference and training in neural networks,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Spar- sity in deep learning: Pruning and growth for efficient inference and training in neural networks,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:22.342560Z digest=sha256:7b4b82e097be36dfe85d19db5da5ba191a36e9930e94db53d7393f4a6af25835

Observation e057dae1-2ca5-4973-a0a4-9c1e4b74c079 · outbound

This paper cites Variational dropout spar- sifies deep neural networks,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Variational dropout spar- sifies deep neural networks,

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c00cf94b-8dbe-4142-8ca3-fd8c9868e41a · outbound

This paper cites A survey on model com- pression for large language models,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage A survey on model com- pression for large language models,

Reference 11

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raw_fallback, observed 2026-08-06T15:18:48.289566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c03bc318-aa5a-4fdf-92e7-241c4052dfa6 · outbound

This paper cites Quantization backdoors to deep learning commercial frameworks,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Quantization backdoors to deep learning commercial frameworks,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:22.842344Z digest=sha256:9d5356cd55e142296a69526b04f1bc14b8f98c89baa180f7a6ede33d9ba6c97a

Observation e30bf0e9-fa7d-4841-aa2b-1b8b77b76c9b · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:23.037839Z digest=sha256:c6c039a4c646ac964aaed9c26d507e303f8ba9b1832414e0ba538e95a28e3e1a

Observation 71977555-a415-439d-9c63-f514d4fc642d · outbound

This paper cites Loraprune: Structured pruning meets low-rank parameter-efficient fine-tuning,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Loraprune: Structured pruning meets low-rank parameter-efficient fine-tuning,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 538c577c-6f5a-4bdb-85c0-527fe0a5f004 · outbound

This paper cites Q8bert: Quan- tized 8bit bert,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Q8bert: Quan- tized 8bit bert,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:23.313920Z digest=sha256:457af2c6beecd6ab09c0e94687006723e88cd0b16bc6eb51d77aacf7b95d4b20

Observation 4c0f6ae5-4da0-4160-8a68-e2546801e35f · outbound

This paper cites Atom: Low-bit quanti- zation for efficient and accurate llm serving,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Atom: Low-bit quanti- zation for efficient and accurate llm serving,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:23.424949Z digest=sha256:2c6c4c6ecd344bfdd0839e015e64fba8db5c9c1385644d0998488a9453dfcc59

Observation bd7f2614-7c57-4c94-87cf-89b18ac7f135 · outbound

This paper cites Exploiting llm quantization,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Exploiting llm quantization,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e6e3e0c2-656b-4eb7-b580-78d34b73fcc6 · outbound

This paper cites Auditing membership leakages of multi-exit networks,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Auditing membership leakages of multi-exit networks,

Reference 18

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raw_fallback, observed 2026-08-06T15:18:46.841058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1396119b-7880-44ef-b0b3-6068126b75cc · outbound

This paper cites Member- ship inference attacks and generalization: A causal perspective,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Member- ship inference attacks and generalization: A causal perspective,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e26a4249-8efb-4691-9bea-c12c70fad979 · outbound

This paper cites Enhanced membership inference attacks against machine learning models,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Enhanced membership inference attacks against machine learning models,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6186b8e8-cadf-4da3-8705-935e6bc5505c · outbound

This paper cites Membership inference attacks and defenses in classification models,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Membership inference attacks and defenses in classification models,

Reference 21

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raw_fallback, observed 2026-08-06T15:18:46.366309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 361d6386-e1fc-4e41-83ba-2d4f0ff8c8c2 · outbound

This paper cites Membership inference attacks against machine learning models,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Membership inference attacks against machine learning models,

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b3bd642d-56c7-4866-9539-f1ff22a391fd · outbound

This paper cites Membership inference attacks from first principles,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Membership inference attacks from first principles,

Reference 23

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raw_fallback, observed 2026-08-06T15:18:46.199757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation da711e6f-fbf9-4555-9cb8-614bb1f7bf18 · outbound

This paper cites Seqmia: Sequential-metric based membership inference attack,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Seqmia: Sequential-metric based membership inference attack,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 623765f2-6888-498f-88f2-99c027b4b234 · outbound

This paper cites Is difficulty calibration all we need? towards more practical membership inference attacks,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Is difficulty calibration all we need? towards more practical membership inference attacks,

Reference 25

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raw_fallback, observed 2026-08-06T15:18:45.857001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:24.497023Z digest=sha256:b7160d43436313b328f8a5bb6b1e6dae62bcc2a3329a9c70a100559a45273152

Observation 049f2b71-bc98-42d7-a662-c33b5f8e8fe8 · outbound

This paper cites Gan-leaks: A taxonomy of membership inference attacks against generative models,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Gan-leaks: A taxonomy of membership inference attacks against generative models,

Reference 26

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raw_fallback, observed 2026-08-06T15:18:45.612468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f2024b30-b662-4bf7-b38e-fbc7a913504b · outbound

This paper cites an unresolved cited work.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Unresolved cited work

Reference 27

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parse uncertain
raw_fallback, observed 2026-08-06T15:18:45.437082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bb19e2a8-603a-4155-b207-8d596aeb2139 · outbound

This paper cites Membership inference attacks and defenses in neural network pruning,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Membership inference attacks and defenses in neural network pruning,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 034297f7-fc5d-4b27-9291-10d81761d6db · outbound

This paper cites Machine learning with membership privacy using adversarial regularization,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Machine learning with membership privacy using adversarial regularization,

Reference 29

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raw_fallback, observed 2026-08-06T15:18:45.278356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2d940c20-19fa-4844-a11a-4004f3e13508 · outbound

This paper cites Systematic evaluation of privacy risks of machine learning models,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Systematic evaluation of privacy risks of machine learning models,

Reference 30

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raw_fallback, observed 2026-08-06T15:18:45.178828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 867248fa-2b83-479b-8b94-7e1afd1c7acd · outbound

This paper cites Privacy risk in machine learning: Analyzing the connection to overfitting,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Privacy risk in machine learning: Analyzing the connection to overfitting,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 18cfc604-d6ec-41cd-80e0-99d03faec7a0 · outbound

This paper cites Against membership inference attack: Pruning is all you need,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Against membership inference attack: Pruning is all you need,

Reference 32

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raw_fallback, observed 2026-08-06T15:18:44.930521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9de7d6e1-90ed-45f1-b2ba-a94bb4a2d45b · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage LLaMA: Open and Efficient Foundation Language Models

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7d633ba0-1ac1-44ee-a7d0-fa19b6ebb4dc · outbound

This paper cites an unresolved cited work.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 519fd57a-9913-4a68-acc1-65796dfb89b1 · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Quantization and training of neural networks for efficient integer-arithmetic-only inference,

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:25.642744Z digest=sha256:83560bd31334e86ee249c327eb28f12826a393f1b0917a2acd1b15ef3ae10bf0

Observation 359cb8b5-5c3b-4bf6-b026-7bebc4cb61fa · outbound

This paper cites Structured pruning of deep con- volutional neural networks,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Structured pruning of deep con- volutional neural networks,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T15:18:44.198812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:25.768980Z digest=sha256:b85c543c22c885ee982261030a64bd53736ddf708ea113bfbbf16a2004fd7c7e

Observation fe44c792-9650-4824-b913-6d6c4bdde90b · outbound

This paper cites A survey of quantization methods for efficient neural network inference,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage A survey of quantization methods for efficient neural network inference,

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-06T15:18:43.922716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:25.908658Z digest=sha256:8925d39dece7abe54497550dd24faeaa64e5ac879ff2cbf6f0a462a1d46e88aa

Observation df979d41-5d21-47bd-a7d0-8b4b69f0c209 · outbound

This paper cites Quantization networks,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Quantization networks,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:43.681204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:26.111883Z digest=sha256:fa97640ec2c3177f173c2a0b373e7ffc0f6ba7c9ab7ba58caea0896ad77c56ce

Observation 338e2344-d5da-44ae-bef1-016aade63bdd · outbound

This paper cites Pruning Filters for Efficient ConvNets.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Pruning Filters for Efficient ConvNets

Reference 39

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unresolved
no resolver link, observed 2026-08-06T15:18:26.229570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:26.229570Z digest=sha256:0fa433e897e5b042dffe0c19ab8a58fc63cc96a13e34f6a9e75f0423c27f0ed5

Observation 7aea0721-329e-4bbf-a1ac-3e419f4a82a4 · outbound

This paper cites ShortGPT: Layers in Large Language Models are More Redundant Than You Expect.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 40

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no resolver link, observed 2026-08-06T15:18:26.479421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:26.479421Z digest=sha256:232b372a45733989e063632859f7f1a9bcf8f21541cee5330f6815d8a0ef4317

Observation ec047fdc-efec-461c-8bbe-5463bd7f4b26 · outbound

This paper cites Accurate post training quantization with small calibration sets,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Accurate post training quantization with small calibration sets,

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-06T15:18:43.266337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:26.548919Z digest=sha256:fa30293757205aab5e7b075039257a6503bd5dfaec7944e629f757969531e733

Observation a6c0a5db-6458-46b8-9948-56589d18b842 · outbound

This paper cites Analyzing inference privacy risks through gradients in machine learning,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Analyzing inference privacy risks through gradients in machine learning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:43.008194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:26.675921Z digest=sha256:a3980b337c378693dee10a4e6b690e92550a29e2e695d7e80c329b8c449d0433

Observation cd8a30f8-b76b-4635-8a37-223807a56e84 · outbound

This paper cites Mitigating membership inference attacks by {Self-Distillation} through a novel ensemble architecture,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Mitigating membership inference attacks by {Self-Distillation} through a novel ensemble architecture,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:42.743174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:26.790772Z digest=sha256:ac89d1de9e8f7729b75163288a06d0fc60bdc980986744917f1df067f44c0c52

Observation a233bd19-36f1-43c4-84f4-1de1e4e1bf5a · outbound

This paper cites Defending against membership inference attacks on iteratively pruned deep neural networks,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Defending against membership inference attacks on iteratively pruned deep neural networks,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:42.537098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:26.905765Z digest=sha256:65339fa669cc381e1eb526a6f73d897a1ea89778aa6048f2d43aaafeb821eead

Observation 7182ad9c-bf31-4755-a5ef-d85a4a2898f9 · outbound

This paper cites ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Reference 45

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unresolved
no resolver link, observed 2026-08-06T15:18:26.990706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:26.990706Z digest=sha256:cd2f93194aaf3ed7dbb28f836f8b8074cfbe97bcab8f0f606dff1da39a87c075

Observation 25a4411e-2cfb-4256-ad23-5592dd80e493 · outbound

This paper cites Please tell me more: Privacy impact of explainability through the lens of membership inference attack,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Please tell me more: Privacy impact of explainability through the lens of membership inference attack,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:42.343591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:27.054541Z digest=sha256:27591f6d3b9a83fb1f5c1b8d5095cef0588a3458ee21d25bd564b53547889110

Observation ca56b212-3fbe-4068-9b96-179e949b65a8 · outbound

This paper cites Does training with synthetic data truly protect privacy?.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Does training with synthetic data truly protect privacy?

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:42.097353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:27.213789Z digest=sha256:0c930aaa61e9acc1572b4255c8cf3c54196dee4286b3943de9b376c13a4d6d4e

Observation 8ff18b66-184c-42da-9de5-6f8337ff594b · outbound

This paper cites When machine unlearning jeopardizes privacy,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage When machine unlearning jeopardizes privacy,

Reference 48

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no resolver link, observed 2026-08-06T15:18:27.336355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:27.336355Z digest=sha256:5d91afc49c346b4f164636350135ddd55e846b74ddbce30da7a2699842445bad

Observation b15c6e30-b18c-472a-bce3-dc606b2ac4c5 · outbound

This paper cites A unified membership inference method for visual self-supervised encoder via part-aware capability,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage A unified membership inference method for visual self-supervised encoder via part-aware capability,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:41.842091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:27.492415Z digest=sha256:ff75fe02fc0dccafcb17f0c02cac12c0ee4299ce9ea54a72e80691c9486ea4f2

Observation 133fc801-08e2-4032-b970-750c4f88d6d4 · outbound

This paper cites SLMIA-SR: speaker-level member- ship inference attacks against speaker recognition systems,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage SLMIA-SR: speaker-level member- ship inference attacks against speaker recognition systems,

Reference 50

Resolution
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raw_fallback, observed 2026-08-06T15:18:41.612789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:27.607006Z digest=sha256:84dc846ec0cf8af06bbba980de2213c06f7960688e70ee497ed7c88e8428618c

Observation d982a247-be98-47c9-a9ed-0c663f83cb6b · outbound

This paper cites Querychee- tah: Fast automated discovery of attribute inference attacks against query-based systems,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Querychee- tah: Fast automated discovery of attribute inference attacks against query-based systems,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:41.397779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:27.712947Z digest=sha256:93bd5676243233f2d54a6b455deb7e3023fb3af8182f68fc7e36b53c00d1267b

Observation 55126610-24e9-4430-a1c2-596a4971818a · outbound

This paper cites Diffence: Fencing mem- bership privacy with diffusion models,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Diffence: Fencing mem- bership privacy with diffusion models,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:41.112868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:27.859731Z digest=sha256:352dbe857a8c8dff48783cb29b928e1f7b22c330c660784bb921f705fb730c6e

Observation 7b10c261-a274-49f4-be96-ca633ac86ec0 · outbound

This paper cites Black-box membership inference attacks against fine-tuned diffusion models,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Black-box membership inference attacks against fine-tuned diffusion models,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:40.876838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:27.926417Z digest=sha256:863763964fa2a218f89644817baa84b67c69983ce829caaab56d15d9ee66f6e1

Observation b6b989f0-2144-4f10-a84c-0649a4c1d894 · outbound

This paper cites Did the neurons read your book? document-level membership inference for large language models,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Did the neurons read your book? document-level membership inference for large language models,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:40.555886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:28.068692Z digest=sha256:259404b9d58945dbdc974999c03e8928e3d418ef58d965925d27aa9f254656b4

Observation 71b157a2-ef0b-4300-b2b8-d3dc69f883e4 · outbound

This paper cites Membership inference attacks against in-context learning,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Membership inference attacks against in-context learning,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:40.293627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:28.162017Z digest=sha256:a8c144d3e17bb61e97e8596d88278d676e2aefb8961ed19a36ff58f21d52b157

Observation 5a0e96b9-4e25-45c7-a9e2-7b04999e8c07 · outbound

This paper cites Cache telepathy: Leverag- ing shared resource attacks to learn {DNN} architectures,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Cache telepathy: Leverag- ing shared resource attacks to learn {DNN} architectures,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:40.074993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:28.340288Z digest=sha256:e1eee448f4dc892fe80445578daf106d23d8d76a4fc65395391ad1cc195a5763

Observation 6ec433e9-ebc2-4a8c-bc16-ca67b4cb669c · outbound

This paper cites Deeptheft: Stealing dnn model architectures through power side channel,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Deeptheft: Stealing dnn model architectures through power side channel,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:39.822903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:28.498105Z digest=sha256:2b20dc0bb93463f879fdd0cdc480c75f53dc5a0229acea127edf6a3f18d1c24b

Observation 03b06231-f17a-4151-a7b1-a2b20138b0d7 · outbound

This paper cites an unresolved cited work.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Unresolved cited work

Reference 58

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unresolved
raw_fallback, observed 2026-08-06T15:18:39.602427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:28.569115Z digest=sha256:acb426c37439aea90bab88ecde8e2d8f34f91e84e74aacd9a6b7fa9cf9e7a253

Observation cd18d839-7acf-40f7-a9d5-b68a1a4c7e5f · outbound

This paper cites Deep residual learning for image recognition,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Deep residual learning for image recognition,

Reference 59

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no resolver link, observed 2026-08-06T15:18:28.700227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:28.700227Z digest=sha256:2f1eb57ddd53c59e1be942741b5f0f1b36b8982744501d24ad081d1dd17b0382

Observation e31c82a0-6c4d-48b9-823f-9bb48179d9d1 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 60

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no resolver link, observed 2026-08-06T15:18:28.836237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:28.836237Z digest=sha256:b4f235bad2359fc8244665cc077b5b082f42048ec500a6e3d8446f46863d51c9

Observation b6831a87-0bc6-4462-b94e-cde1d2c541e6 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 61

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raw_fallback, observed 2026-08-06T15:18:39.324191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:28.943436Z digest=sha256:d47881fe36ba5b6a7f0ed8c3618d508342b189609b7c5c792e492f69eea279b2

Observation fa3ee3e8-7b0a-478c-a128-9220e625993c · outbound

This paper cites Membership inference attacks by exploiting loss trajectory,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Membership inference attacks by exploiting loss trajectory,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:39.079139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:29.080570Z digest=sha256:61c3e32589d959a100ac5c561327e2815827f413d987914139ff9fb84a78f5a9

Observation 84eb7f2c-adeb-4258-a324-c9c1548b8422 · outbound

This paper cites Genomic privacy and limits of individual detection in a pool,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Genomic privacy and limits of individual detection in a pool,

Reference 63

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verified fuzzy
raw_fallback, observed 2026-08-06T15:18:38.820586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:29.220245Z digest=sha256:efffe33ebccb2fc1c3424e9e9c1ee9751706f4c8155ea1e5b39857e7048aa83e

Observation b1ed247e-b59f-4d13-b5eb-77d27a00e046 · outbound

This paper cites A simple weight decay can improve general- ization,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage A simple weight decay can improve general- ization,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:38.575903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:29.341618Z digest=sha256:6590ecebcf214e78fd3fc1017436347ea364315bee57bde38a47dfdcf3595c26

Observation 1c9c0b52-70ce-4b22-acc5-5bfff9a9a3d8 · outbound

This paper cites Early stopping-but when?.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Early stopping-but when?

Reference 65

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unresolved
no resolver link, observed 2026-08-06T15:18:29.505975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:29.505975Z digest=sha256:4fa12bf620979cb37700b2b7e62231c68ffbcb86751f9eee67b4c7e1f3d3e9cf

Observation 1026e189-1879-4bad-ae90-2f68713faf61 · outbound

This paper cites an unresolved cited work.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Unresolved cited work

Reference 66

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unresolved
raw_fallback, observed 2026-08-06T15:18:38.315938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:29.617605Z digest=sha256:ad4888def32ab2a14227cad9cd2d704e092824f5a5871d6c62e5c31505e02b46

Observation 80b7c21c-3a9a-4e0f-8bce-b1748a5d2d96 · outbound

This paper cites What is the state of neural network pruning?.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage What is the state of neural network pruning?

Reference 67

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verified fuzzy
raw_fallback, observed 2026-08-06T15:18:38.055022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:29.694255Z digest=sha256:a846c5d715717be55eef37656157d60f08771d4d0ce037d3c63cacb4b3db3d19

Observation 2e93cbe6-c523-446d-82e6-018fabeb05d2 · outbound

This paper cites On information and sufficiency,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage On information and sufficiency,

Reference 68

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no resolver link, observed 2026-08-06T15:18:29.747579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:29.747579Z digest=sha256:85d1e05371be38530147495788e5fef5f5a1b5c7190cf6666819a40f57b83803

Observation 30a8d311-4fed-477e-9426-f60fd65313d0 · outbound

This paper cites Property inference attacks on fully connected neural networks using permu- tation invariant representations,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Property inference attacks on fully connected neural networks using permu- tation invariant representations,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:37.828484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:29.834749Z digest=sha256:14bd1fa096c6affe425d3b8a8e2c7ebd27f3c41b81aba2db56e4d872a13ab71a

Observation 83f66535-7680-4909-beaf-e7f977cfe5c7 · outbound

This paper cites Deep learning with differential privacy,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Deep learning with differential privacy,

Reference 70

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no resolver link, observed 2026-08-06T15:18:29.895172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:29.895172Z digest=sha256:a9a9c46699174c58505ab431e98a9ff8eb1718cd8e8a8207e7d91e4cce1d63b5

Observation 507a3e6d-19e8-42d6-8c85-69cbb9a05af4 · outbound

This paper cites Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm?.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm?

Reference 71

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local_arxiv, observed 2026-08-06T15:18:33.358522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:30.023155Z digest=sha256:27ce3a06868d8078ae057a1f9e698f4b44e6e6257fd11ffebd7ff3d19f34de85

Observation 51bfaa8f-36ae-45ed-84b5-ad3f1edc2868 · outbound

This paper cites Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms

Reference 72

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no resolver link, observed 2026-08-06T15:18:30.141599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b9332e60-80a0-4b28-8408-90918b5eae67 · outbound

This paper cites A comprehensive survey on pretrained foundation models: A history from bert to chatgpt,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage A comprehensive survey on pretrained foundation models: A history from bert to chatgpt,

Reference 73

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d0f7c49e-0f73-4507-9af1-5d67aedf275d · outbound

This paper cites Recursive deep models for semantic compositionality over a sentiment treebank,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Recursive deep models for semantic compositionality over a sentiment treebank,

Reference 74

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no resolver link, observed 2026-08-06T15:18:30.534158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation da13f572-9a96-468d-98f6-5f62fb560143 · outbound

This paper cites Calibrating noise to sensitivity in private data analysis,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Calibrating noise to sensitivity in private data analysis,

Reference 75

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Source-reported events for the cited work

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Observation d7c299c8-0b56-4837-a952-6d1709d1583d · outbound

This paper cites Visualizing data using t-sne.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Visualizing data using t-sne

Reference 76

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no resolver link, observed 2026-08-06T15:18:30.833104Z

Source-reported events for the cited work

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Observation 44ec5842-e8fa-4496-a9f8-66ac1e52d259 · outbound

This paper cites Matching networks for one shot learning,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Matching networks for one shot learning,

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-06T15:18:37.423702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 779517dc-5003-4d2e-99bb-36d453a8f979 · outbound

This paper cites Tiny imagenet visual recognition challenge,.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Tiny imagenet visual recognition challenge,

Reference 78

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raw_fallback, observed 2026-08-06T15:18:37.200300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2753c40d-9e81-4717-be67-71742c4ea27f · outbound

This paper cites CIFAR-10.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage CIFAR-10

Reference 80

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verified fuzzy
raw_fallback, observed 2026-08-06T15:18:37.053086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ede56c0e-a762-4e52-89ed-2645776fc839 · outbound

This paper cites One method is based on direct concate- nation, i.e., P s o ∥ Ps c ∥ y, and the other is based on calculat- ing the L2 distance, i.e., ∥P s o − Ps c ∥2 ∥ y.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage One method is based on direct concate- nation, i.e., P s o ∥ Ps c ∥ y, and the other is based on calculat- ing the L2 distance, i.e., ∥P s o − Ps c ∥2 ∥ y

Reference 81

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verified fuzzy
raw_fallback, observed 2026-08-06T15:18:36.716958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 120c2431-d122-43c1-a2cf-fc4f01cf5403 · outbound

This paper cites TABLE 13: Architecture of the FCN.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage TABLE 13: Architecture of the FCN

Reference 82

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raw_fallback, observed 2026-08-06T15:18:36.331695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:31.729955Z digest=sha256:2610f4dc0cc6c80051f1dd8c8aba3e82e5e2fcea8d935b45b2893c3317dbe6ec

Observation abe43e31-dce1-45fe-8cea-1361833870b2 · outbound

This paper cites Evaluation of Pruning.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Evaluation of Pruning

Reference 83

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verified fuzzy
raw_fallback, observed 2026-08-06T15:18:35.882968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:31.853700Z digest=sha256:b3dabb9dd9884db5577df7a67c14aa2bb6be99413c936d4c2078640069b3e429

Observation 32a47bcf-74ac-415e-946a-11eb9d08f159 · outbound

This paper cites an unresolved cited work.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Unresolved cited work

Reference 84

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unresolved
raw_fallback, observed 2026-08-06T15:18:35.547147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ad941b9c-fe0b-4926-8609-6f293ade062d · outbound

This paper cites an unresolved cited work.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Unresolved cited work

Reference 85

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unresolved
raw_fallback, observed 2026-08-06T15:18:35.266284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:32.229869Z digest=sha256:fa2c4245ea0ad922e665c0d2acf1d24e0c04d58ff5c2e1a69b98eaf83d5d9d71

Observation d038b1bb-4bf1-4266-a5bb-e6eb18bcf234 · outbound

This paper cites Here, we focus on ex- amining the influence of datasets on attacks by using the same model architecture with different datasets.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Here, we focus on ex- amining the influence of datasets on attacks by using the same model architecture with different datasets

Reference 86

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verified fuzzy
raw_fallback, observed 2026-08-06T15:18:34.876471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:32.378581Z digest=sha256:f1724555089a869b86aac6521cc1734007ab9393cece7b0c110a864b67256b67

Observation a565354a-300e-421e-b040-af56e230bf99 · outbound

This paper cites an unresolved cited work.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Unresolved cited work

Reference 87

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unresolved
raw_fallback, observed 2026-08-06T15:18:34.527042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:32.580686Z digest=sha256:cebe2987f7461f1519e961a752838d8c909512d5b2fd0635a94044f6ec337335

Observation 1821ca56-6079-4b52-9f6b-a72e605a6e66 · outbound

This paper cites To validate the contribution of each meta-data component, we evaluate at- tack performance using each component individually.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage To validate the contribution of each meta-data component, we evaluate at- tack performance using each component individually

Reference 88

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verified fuzzy
raw_fallback, observed 2026-08-06T15:18:34.199188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:32.793828Z digest=sha256:181039483e89558686f381ad758c528f5a98ee133724f4c1f23444aaf51a0add

Observation 30a868b8-079e-426f-9f60-0a37d523dae0 · outbound

This paper cites an unresolved cited work.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Unresolved cited work

Reference 89

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raw_fallback, observed 2026-08-06T15:18:33.755583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:32.938601Z digest=sha256:ce92dd83b4985b30bf067a695cd17af97e6acb9539dce711cbef36418b22f851

Observation ffae8ed6-1440-4c34-855c-5bfa8d15e15b · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 14089312.

CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage Available: https://api.semanticscholar.org/CorpusID: 14089312

Reference 2016

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:18:26.358813Z digest=sha256:a2b547cb89abc220243625cad20e3b578440541973e86849d7d5f4e0a2e9060c

Pith citing papers

Observation fc02a45e-ab91-4dc6-a180-a48b3ea83203 · inbound

Bits and Memories: Measuring Verbatim Extraction Across LLM Quantization cites this paper.

Bits and Memories: Measuring Verbatim Extraction Across LLM Quantization CompLeak: Deep Learning Model Compression Exacerbates Privacy Leakage

Reference 2026

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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