Paper Citation Record · LEDGER

Energy Backdoor Attack to Deep Neural Networks

As of 11 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2501.08152.

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

pith.paper-citation-record.v1
2501.08152 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:32:52.893236Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy26
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0ccd4a5-fcaa-4894-b4d1-8bea1ee4c3e9 · outbound

This paper cites Going deeper with convolutions,.

Energy Backdoor Attack to Deep Neural Networks Going deeper with convolutions,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.460082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b406ccbe-a245-4a69-a04b-8cac74148d08 · outbound

This paper cites Hardware implementation of deep network accelerators towards healthcare and biomedical applications,.

Energy Backdoor Attack to Deep Neural Networks Hardware implementation of deep network accelerators towards healthcare and biomedical applications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.449095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9172e426-94c1-4242-9444-4e6c7d6b6723 · outbound

This paper cites Scnn: An accelerator for compressed-sparse convolutional neural networks,.

Energy Backdoor Attack to Deep Neural Networks Scnn: An accelerator for compressed-sparse convolutional neural networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.438817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 522112cd-6eef-4a5d-91ea-c958a2c0876f · outbound

This paper cites Energy-Latency Attacks via Sponge Poisoning.

Energy Backdoor Attack to Deep Neural Networks Energy-Latency Attacks via Sponge Poisoning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:52.786315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccfd7354-0d2f-45a0-aebb-b433fc947572 · outbound

This paper cites Sponge examples: Energy-latency attacks on neural networks,.

Energy Backdoor Attack to Deep Neural Networks Sponge examples: Energy-latency attacks on neural networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.425890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0092c3ff-7341-4c28-9622-39370a3043b9 · outbound

This paper cites The dark side of dynamic routing neural networks: Towards efficiency backdoor injection,.

Energy Backdoor Attack to Deep Neural Networks The dark side of dynamic routing neural networks: Towards efficiency backdoor injection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.414134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2342505e-35f2-4771-b3ca-66d1e79dd2fc · outbound

This paper cites SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers.

Energy Backdoor Attack to Deep Neural Networks SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:52.797767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4caac472-2e67-4e26-b996-907cea70fed9 · outbound

This paper cites Gradauto: Energy-oriented attack on dynamic neural networks,.

Energy Backdoor Attack to Deep Neural Networks Gradauto: Energy-oriented attack on dynamic neural networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.403727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 53d6d0bf-282b-4c08-a412-5814e3bb0bfc · outbound

This paper cites Slowlidar: In- creasing the latency of lidar-based detection using adversarial examples,.

Energy Backdoor Attack to Deep Neural Networks Slowlidar: In- creasing the latency of lidar-based detection using adversarial examples,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.394018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d1fcb23d-76f0-4d20-b626-c75df234c836 · outbound

This paper cites Ereba: black-box energy testing of adaptive neural networks,.

Energy Backdoor Attack to Deep Neural Networks Ereba: black-box energy testing of adaptive neural networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.383778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1a952295-a62d-4700-a6c4-2b5121a20485 · outbound

This paper cites Antinode: Evaluating efficiency robustness of neural odes,.

Energy Backdoor Attack to Deep Neural Networks Antinode: Evaluating efficiency robustness of neural odes,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.373382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 85b3a617-1d35-4ddf-aeab-e6693e8af1ca · outbound

This paper cites The spongenet attack: Sponge weight poisoning of deep neural networks,.

Energy Backdoor Attack to Deep Neural Networks The spongenet attack: Sponge weight poisoning of deep neural networks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:52.815299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce972cde-e88a-4490-811c-df03460187c3 · outbound

This paper cites Sparsity turns adversarial: Energy and latency attacks on deep neural networks,.

Energy Backdoor Attack to Deep Neural Networks Sparsity turns adversarial: Energy and latency attacks on deep neural networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.363588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bf6d3194-c533-4b50-943d-d34ef769008e · outbound

This paper cites Sponge attack against multi-exit networks with data poisoning,.

Energy Backdoor Attack to Deep Neural Networks Sponge attack against multi-exit networks with data poisoning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.352057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 67283f61-25d2-46be-adaf-8f73d960ea75 · outbound

This paper cites Effi- ciency attacks on spiking neural networks,.

Energy Backdoor Attack to Deep Neural Networks Effi- ciency attacks on spiking neural networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.341564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b8cbe60e-090d-4f7d-a798-03de534544ef · outbound

This paper cites Nicgslowdown: Evaluating the efficiency robustness of neural image caption generation models,.

Energy Backdoor Attack to Deep Neural Networks Nicgslowdown: Evaluating the efficiency robustness of neural image caption generation models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.330737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 04517019-7d3c-4e88-93a9-cff63efbae47 · outbound

This paper cites Energy- latency attacks to on-device neural networks via sponge poisoning,.

Energy Backdoor Attack to Deep Neural Networks Energy- latency attacks to on-device neural networks via sponge poisoning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.320038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 588ca9bb-f98e-4e1f-814d-f5506e3f7d99 · outbound

This paper cites The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision.

Energy Backdoor Attack to Deep Neural Networks The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:32:52.958100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4d756e6e-f740-46b2-ab13-3326e65b22a8 · outbound

This paper cites Trojaning attack on neural networks,.

Energy Backdoor Attack to Deep Neural Networks Trojaning attack on neural networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.310406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 20b59129-c300-4cf2-a027-596bd50521f7 · outbound

This paper cites Reflection backdoor: A natural backdoor attack on deep neural networks,.

Energy Backdoor Attack to Deep Neural Networks Reflection backdoor: A natural backdoor attack on deep neural networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.300295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 332db1cd-2f78-44ad-9569-f94cd05c08b3 · outbound

This paper cites Backdoor attacks against deep image compression via adaptive frequency trigger,.

Energy Backdoor Attack to Deep Neural Networks Backdoor attacks against deep image compression via adaptive frequency trigger,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.290471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 806cc70a-04e0-40df-b4db-f102849a5a52 · outbound

This paper cites Luminance-based video backdoor attack against anti-spoofing rebroad- cast detection,.

Energy Backdoor Attack to Deep Neural Networks Luminance-based video backdoor attack against anti-spoofing rebroad- cast detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.280166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 77394af6-f729-4e95-872d-d292cbd3ade2 · outbound

This paper cites On the lasso and its dual,.

Energy Backdoor Attack to Deep Neural Networks On the lasso and its dual,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.269947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8b79d769-889c-4ed3-a80b-f127dbe2a24b · outbound

This paper cites Fiba: Federated invisible backdoor attack,.

Energy Backdoor Attack to Deep Neural Networks Fiba: Federated invisible backdoor attack,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.258900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 68d58224-d11a-4b57-886e-0b81d18d2901 · outbound

This paper cites Invisible backdoor attacks on deep neural networks via steganography and regularization,.

Energy Backdoor Attack to Deep Neural Networks Invisible backdoor attacks on deep neural networks via steganography and regularization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.246879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 68f9bd0b-8358-4da4-b6c9-5bbb1bc58d66 · outbound

This paper cites Backdoor attack with sparse and invisible trigger,.

Energy Backdoor Attack to Deep Neural Networks Backdoor attack with sparse and invisible trigger,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.235389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation edab9eb8-3d4a-4ecd-a5bd-32ba02e2e4e0 · outbound

This paper cites Poison frogs! targeted clean-label poisoning attacks on neural networks,.

Energy Backdoor Attack to Deep Neural Networks Poison frogs! targeted clean-label poisoning attacks on neural networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.122748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b2bc12fb-444a-4129-95af-bc6e2f5eefaf · outbound

This paper cites An overview of backdoor attacks against deep neural networks and possible defences,.

Energy Backdoor Attack to Deep Neural Networks An overview of backdoor attacks against deep neural networks and possible defences,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.110609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3698cdf8-49c3-407b-83b7-d79c61255014 · outbound

This paper cites Learning multiple layers of features from tiny images.(2009),.

Energy Backdoor Attack to Deep Neural Networks Learning multiple layers of features from tiny images.(2009),

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.099875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0908ef13-b06d-4697-81e0-151dc5b1f3ff · outbound

This paper cites Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI.

Energy Backdoor Attack to Deep Neural Networks Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:52.879287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 951c879a-368d-4fc5-86be-2ed2a7e3f223 · outbound

This paper cites Deep residual learning for image recognition,.

Energy Backdoor Attack to Deep Neural Networks Deep residual learning for image recognition,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:52.882974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a26a57b-4fc0-4009-b5a9-67617fda5dd6 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Energy Backdoor Attack to Deep Neural Networks MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:52.886238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfbd6da2-4c47-4cb2-9a3e-12b236a64031 · outbound

This paper cites A new backdoor attack in cnns by training set corruption without label poisoning,.

Energy Backdoor Attack to Deep Neural Networks A new backdoor attack in cnns by training set corruption without label poisoning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:32:53.082143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 376381f5-8e96-4864-9a96-aba8226edae1 · outbound

This paper cites Learning to Optimize.

Energy Backdoor Attack to Deep Neural Networks Learning to Optimize

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T20:32:52.893236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.