Paper Citation Record · LEDGER

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models

As of 23 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 4 inbound Pith citation observations for arXiv:2507.18302.

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

pith.paper-citation-record.v1
2507.18302 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:20:44.518703Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:49:14.243931Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:50:11.125496Z

Reference resolution

58 of 58 outbound references displayed

verified exact0
verified fuzzy26
unresolved32
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d86be8d-d4d9-46ff-9db3-389b26816e35 · outbound

This paper cites Adapting large language models via reading comprehension,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Adapting large language models via reading comprehension,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:45.124731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0e140187-cf90-4458-b46e-b0cde6c5a8eb · outbound

This paper cites AstroLLaMA: Towards specialized foundation models in astronomy,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models AstroLLaMA: Towards specialized foundation models in astronomy,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:45.113032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6374a8a1-7680-430b-a5c6-5a1d0a4f8d67 · outbound

This paper cites Chatgpt,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Chatgpt,

Reference 3

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Source-reported events for the cited work

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Observation daa94060-335c-4297-9758-d2b403e35055 · outbound

This paper cites Llama 2: Open foundation and fine-tuned chat models,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Llama 2: Open foundation and fine-tuned chat models,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.339528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 394a6a4f-59f2-4ad7-a1a0-3136de272e5f · outbound

This paper cites Code Llama: Open Foundation Models for Code.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Code Llama: Open Foundation Models for Code

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.342748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4298a12-f5f4-40aa-9368-bf64eb8330c9 · outbound

This paper cites AstroLLaMA: Towards Specialized Foundation Models in Astronomy.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models AstroLLaMA: Towards Specialized Foundation Models in Astronomy

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.347163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e2d20f8-55c8-4443-be3d-7aaaabae8bdd · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.351563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22dd9660-3c89-491f-b22b-963cc80fefad · outbound

This paper cites Peft: State-of-the-art parameter-efficient fine-tuning methods,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Peft: State-of-the-art parameter-efficient fine-tuning methods,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.354967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66314519-ed52-4733-bb72-178ea0530f7a · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models LoRA: Low-rank adaptation of large language models,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.358733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 219a856b-0bcd-45f8-b50f-3941cb94833b · outbound

This paper cites The Philosopher's Stone: Trojaning Plugins of Large Language Models.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models The Philosopher's Stone: Trojaning Plugins of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.362089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b291545-8067-4400-81e3-e6de9450506a · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models QLoRA: Efficient Finetuning of Quantized LLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.365872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5091b6ca-73f0-4106-ad92-df63795b112d · outbound

This paper cites Membership inference attacks from first principles,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Membership inference attacks from first principles,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.369551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 598ff9a6-21ad-4fde-811a-288b03b04ca4 · outbound

This paper cites Last one standing: A comparative analysis of security and privacy of soft prompt tuning, lora, and in-context learning,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Last one standing: A comparative analysis of security and privacy of soft prompt tuning, lora, and in-context learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:45.069678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0dc1e0b5-6ded-4273-9199-95317a9667dd · outbound

This paper cites Precurious: How innocent pre-trained language models turn into privacy traps,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Precurious: How innocent pre-trained language models turn into privacy traps,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:45.057427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b8dacc21-ee3a-4e80-8397-975efdf45d8f · outbound

This paper cites Character-level convolutional networks for text classification,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Character-level convolutional networks for text classification,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.377940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b57c2df-f070-4f61-807c-d5c5d5c70b0a · outbound

This paper cites Openassistant conversations - democra- tizing large language model alignment,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Openassistant conversations - democra- tizing large language model alignment,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:45.040864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 02a3889b-4302-4928-a701-79ab504aac3c · outbound

This paper cites What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.383247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bbfa29f-679f-4868-b35b-45f2fa72831d · outbound

This paper cites Membership Inference Attack Susceptibility of Clinical Language Models.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Membership Inference Attack Susceptibility of Clinical Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.386267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e16b6913-f06d-4884-87a2-182061a93837 · outbound

This paper cites Quantifying privacy risks of masked language models using membership inference attacks,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Quantifying privacy risks of masked language models using membership inference attacks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:45.027544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 83b881b1-2c46-4cfd-9f62-dab592240804 · outbound

This paper cites Extracting training data from large language models,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Extracting training data from large language models,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.392617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b5baa0e-ffde-4d11-9e38-560fa43041c8 · outbound

This paper cites Membership inference attacks against language models via neighbourhood comparison,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Membership inference attacks against language models via neighbourhood comparison,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:45.008950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a162bb96-99db-43a5-99c3-9bb6c9a4d731 · outbound

This paper cites Membership inference attacks against fine-tuned large language models via self-prompt calibration,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Membership inference attacks against fine-tuned large language models via self-prompt calibration,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.996548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a3a7e0f2-ac1b-40c9-943a-c84b59bf27f4 · outbound

This paper cites MoPe: Model perturbation based privacy attacks on language models,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models MoPe: Model perturbation based privacy attacks on language models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.987050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b1ff11f5-eebb-47ca-9ea7-7bfa5507c0c8 · outbound

This paper cites Detecting pretraining data from large language models,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Detecting pretraining data from large language models,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.407227Z

Source-reported events for the cited work

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Observation a5772ff0-aba3-4206-bc06-6849dea5583f · outbound

This paper cites Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.411767Z

Source-reported events for the cited work

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Observation 06f6ebf4-83cd-48e1-8da9-fba2d4318c7d · outbound

This paper cites Pandora’s white-box: Increased training data leakage in open llms,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Pandora’s white-box: Increased training data leakage in open llms,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.971353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a687b62a-eb36-4575-b377-6670f3a80a24 · outbound

This paper cites Membership Infer- ence Attacks Against Machine Learning Models,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Membership Infer- ence Attacks Against Machine Learning Models,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.959567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 96a9eec8-ddf0-4467-9188-894c1b514f37 · outbound

This paper cites Comprehensive Privacy Anal- ysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Comprehensive Privacy Anal- ysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.948923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0e8ecf64-e3b4-413a-ac92-96cd9acec3ca · outbound

This paper cites Stolen memories: Leveraging model memorization for calibrated White-Box membership inference,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Stolen memories: Leveraging model memorization for calibrated White-Box membership inference,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.939228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4da78707-4f4d-4391-9777-6fe8968eb15a · outbound

This paper cites Privacy risks of securing machine learning models against adversarial examples,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Privacy risks of securing machine learning models against adversarial examples,

Reference 30

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Source-reported events for the cited work

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Observation 044924be-112c-4fb5-96ce-0e00dae59998 · outbound

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

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Privacy risk in machine learning: Analyzing the connection to overfitting,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.431687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fd2e2af-6000-42cd-9c37-e1011d2df828 · outbound

This paper cites Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.434642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a3bcc6b-dfcf-49d3-8bfd-dec43300e2f9 · outbound

This paper cites SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It).

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It)

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.438196Z

Source-reported events for the cited work

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Observation 1e627200-e1ba-4339-82b0-69d1b15eab00 · outbound

This paper cites Blind Baselines Beat Membership Inference Attacks for Foundation Models.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Blind Baselines Beat Membership Inference Attacks for Foundation Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.441475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9b6cf5c-4721-4837-950f-20132d39562d · outbound

This paper cites Do Membership Inference Attacks Work on Large Language Models?.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Do Membership Inference Attacks Work on Large Language Models?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.444846Z

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Observation a5339899-e61b-4d10-a234-143a8cde3ebe · outbound

This paper cites Memorization in NLP Fine-tuning Methods.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Memorization in NLP Fine-tuning Methods

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.449589Z

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Observation 919c6002-5c5d-4a68-848d-cf5c05b19f68 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 37

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Observation 120bf156-69b2-45eb-b2c0-d97657b50bb2 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.456606Z

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Observation d4b0faa8-8087-4abb-92f2-c72d3f3b85b6 · outbound

This paper cites Language models are unsupervised multitask learners,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Language models are unsupervised multitask learners,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.460315Z

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Observation ac681358-a0fb-404c-aa1b-1266146b1a7e · outbound

This paper cites Pythia: A suite for analyzing large language models across training and scaling,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Pythia: A suite for analyzing large language models across training and scaling,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.463286Z

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Observation 66ae483d-ef14-4a07-b859-d43461b465b1 · outbound

This paper cites Openassistant top-1 conversation threads,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Openassistant top-1 conversation threads,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.905368Z

Source-reported events for the cited work

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Observation 20f94b7f-7f7b-4760-a253-67e6997d1a20 · outbound

This paper cites Chat markup language,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Chat markup language,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.895535Z

Source-reported events for the cited work

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Observation 59308650-d4e3-4f18-ad4d-225e88defc84 · outbound

This paper cites Tl;dr news dataset,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Tl;dr news dataset,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.883868Z

Source-reported events for the cited work

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Observation c764e870-98b9-4ef1-b593-52ff0ec99f17 · outbound

This paper cites Dropout: A simple way to prevent neural networks from overfitting,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Dropout: A simple way to prevent neural networks from overfitting,

Reference 44

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Observation b1574acc-adaf-49a5-aede-786315810e93 · outbound

This paper cites A simple weight decay can improve gener- alization,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models A simple weight decay can improve gener- alization,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.866439Z

Source-reported events for the cited work

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Observation 81ecf22f-6a6b-47d3-aa27-67b230280caa · outbound

This paper cites Decoupled weight decay regularization,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Decoupled weight decay regularization,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.482107Z

Source-reported events for the cited work

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Observation 9f64f8ee-7a91-426b-9054-97e6172e74c1 · outbound

This paper cites On the effectiveness of regulariza- tion against membership inference attacks,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models On the effectiveness of regulariza- tion against membership inference attacks,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.849928Z

Source-reported events for the cited work

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Observation 1221aa3c-4ac9-4ed9-aecb-d32d6438ce76 · outbound

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

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Calibrating noise to sensitivity in private data analysis,

Reference 48

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Source-reported events for the cited work

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Observation e30d2880-ced6-4849-bf5e-266fb87c4079 · outbound

This paper cites Differentially private fine-tuning of language models,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Differentially private fine-tuning of language models,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.834800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7516f932-b85d-4204-bf30-e630e7924446 · outbound

This paper cites dp-transformers: Training transformer models with differential privacy,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models dp-transformers: Training transformer models with differential privacy,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.824445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e98e1476-3a69-4698-8574-fc0b4b3fadec · outbound

This paper cites Openai api reference,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Openai api reference,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.813002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 04d51bb5-c98f-481a-a654-88613b2d3048 · outbound

This paper cites Hugging face api inference documentation,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Hugging face api inference documentation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.803196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fcfaae4f-25d7-4c07-bb10-5aec87da947a · outbound

This paper cites Label- Only Membership Inference Attacks,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Label- Only Membership Inference Attacks,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.792621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b8b6b759-f2a2-4477-89b3-d0501c6e0f56 · outbound

This paper cites Membership Leakage in Label-Only Exposures,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Membership Leakage in Label-Only Exposures,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.781280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e249a577-478a-4f68-b1e8-b821d9639e8a · outbound

This paper cites Trl: Transformer reinforcement learning,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Trl: Transformer reinforcement learning,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.770877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a16a664c-a975-45a1-86c1-a91e6c4bfa58 · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.510905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82943747-7d62-4565-8cb2-de785283f2d9 · outbound

This paper cites The power of scale for parameter-efficient prompt tuning,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models The power of scale for parameter-efficient prompt tuning,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.514315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 507ecdf1-6f3b-434a-ae0b-90012b20bb43 · outbound

This paper cites Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning,.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:44.751846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation ed0c2e36-6812-4b10-baed-39fec7d18a7c · inbound

Auditing Data Membership in Reinforcement Learning With Verifiable Rewards cites this paper.

Auditing Data Membership in Reinforcement Learning With Verifiable Rewards LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:40:17.670528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 65820145-dd6b-413f-bd2c-f1b089f19195 · inbound

Low-Rank Adaptation Redux for Large Models cites this paper.

Low-Rank Adaptation Redux for Large Models LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models

Reference 152

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:26:03.830820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4ef54cf3-e6a0-46c1-9102-2b036de5cbb0 · inbound

Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs cites this paper.

Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models

Reference 141

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:07:30.242521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6c45d6aa-1e6f-42ce-9339-3f75e635e9e0 · inbound

Privacy Vulnerabilities of Attention Layers in Tabular Foundation Models and Protection of High-Risk Queries cites this paper.

Privacy Vulnerabilities of Attention Layers in Tabular Foundation Models and Protection of High-Risk Queries LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:50:11.127675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.