Paper Citation Record · LEDGER

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning

As of 11 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2501.04108.

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

pith.paper-citation-record.v1
2501.04108 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:45:17.668916Z

measured 15 of 15 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

15 of 15 outbound references displayed

verified exact0
verified fuzzy9
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8f847be-117c-472f-92b5-1b6649393b4c · outbound

This paper cites 2022; Liu, Jia, and Gong 2022; Carlini and Terzis 2022; Li et al.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning 2022; Liu, Jia, and Gong 2022; Carlini and Terzis 2022; Li et al

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:45:17.783858Z

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 d94366ae-360f-4d76-b67c-4ef6929fe27d · outbound

This paper cites In this work, we have evaluated both types of attacks and showed that our TrojanDec achieve a good performance in detecting and restoring them.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning In this work, we have evaluated both types of attacks and showed that our TrojanDec achieve a good performance in detecting and restoring them

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:45:17.774436Z

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 aa3c01b3-2751-4068-8e01-a21b205a638f · outbound

This paper cites https://github.com/openai/CLIP.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning https://github.com/openai/CLIP

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:45:17.814246Z

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 df9ac0d4-d1f1-4b56-a434-c4aeeecd3984 · outbound

This paper cites an unresolved cited work.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:45:17.794384Z

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 0e11389d-2559-4259-bfaf-128daad9cab7 · outbound

This paper cites stop sign.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning stop sign

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:45:17.747170Z

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 e112f019-d9b6-46f5-adc8-9b04d01f29d8 · outbound

This paper cites The data augmentation operations used to process the pre-training data include RandomResizedCrop, RandomHorizontalFlip, ColorJitter, and RandomGrayScale.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning The data augmentation operations used to process the pre-training data include RandomResizedCrop, RandomHorizontalFlip, ColorJitter, and RandomGrayScale

Reference 256

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:45:17.756607Z

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 0fcddbbf-8338-4015-a2c8-6cdde299e90c · outbound

This paper cites Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-10T21:45:17.640328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c42cebd0-f8d0-4760-9153-667258e01c11 · outbound

This paper cites The algo- rithm we use to pre-train the encoders is SimCLR (Chen et al.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning The algo- rithm we use to pre-train the encoders is SimCLR (Chen et al

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:45:17.765489Z

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 2e4bbf92-2544-4b4d-ada0-f7a8d4fb4b95 · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-10T21:45:17.626352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3e8cc3c-f6a5-457b-a38e-e3990c98b04c · outbound

This paper cites Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T21:45:17.621972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b55deb4-2300-42a2-816a-29b97f2045d3 · outbound

This paper cites Contrastive Multiview Coding.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning Contrastive Multiview Coding

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T21:45:17.646860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eda85163-4451-4f3d-af35-c8bd0e96fa2a · outbound

This paper cites https://github.com/google-research/ simclr.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning https://github.com/google-research/ simclr

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:45:17.833582Z

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 521842b3-d6f6-498e-8720-4333671ec448 · outbound

This paper cites https://github.com/jinyuan-jia/ BadEncoder.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning https://github.com/jinyuan-jia/ BadEncoder

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:45:17.823772Z

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 a9669955-37c9-470d-8611-5e60b158cb6f · outbound

This paper cites https://github.com/wyhuai/DDNM.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning https://github.com/wyhuai/DDNM

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:45:17.804476Z

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 e2001dca-9774-411b-86e6-f56130d73665 · outbound

This paper cites Defending Deep Regression Models against Backdoor Attacks.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning Defending Deep Regression Models against Backdoor Attacks

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T21:45:17.719830Z

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.

Pith citing papers

No inbound Pith citation observations are available.