FLARE: Toward Universal Dataset Purification against Backdoor Attacks | Paper Citation Record

Observation d81b2737-7d86-4d0e-af46-431c9dd69b50 · outbound

This paper cites Physgan: Generating physical-world-resilient adversarial examples for autonomous driving.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Physgan: Generating physical-world-resilient adversarial examples for autonomous driving

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.804105Z

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

Observation e6c45984-efb2-4bab-8354-7f7a3f7da316 · outbound

This paper cites A survey of deep learning techniques for au- tonomous driving.J.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks A survey of deep learning techniques for au- tonomous driving.J

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.792427Z

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.

Observation dfe671ff-5d59-4c21-bff5-21e135b6fc7d · outbound

This paper cites Mutual component analysis for heterogeneous face recog- nition.ACM Trans.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Mutual component analysis for heterogeneous face recog- nition.ACM Trans

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.738066Z

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.

Observation b2acb4b4-edad-4f9b-b677-f184f66d660d · outbound

This paper cites Com- mon feature discriminant analysis for matching infrared face images to optical face images.IEEE Trans.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Com- mon feature discriminant analysis for matching infrared face images to optical face images.IEEE Trans

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.689781Z

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.

Observation 68805275-57f8-4d4d-ba6c-97e65212689e · outbound

This paper cites Detecting and corrupting convolution-based unlearnable examples.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Detecting and corrupting convolution-based unlearnable examples

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.669798Z

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.

Observation ea6b32dc-89ce-4b4d-a054-384086559cfc · outbound

This paper cites Badrobot: Manipulating embodied llms in the physical world.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Badrobot: Manipulating embodied llms in the physical world

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.601235Z

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

Observation 00a13fc2-e729-4796-a819-5102b1179f9d · outbound

This paper cites Decaf: Data distribution decompose attack against federated learning.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Decaf: Data distribution decompose attack against federated learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.588729Z

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

Observation 0b8f6000-a936-48e1-9ab3-ae479fe685e5 · outbound

This paper cites Improving generaliza- tion of universal adversarial perturbation via dynamic maximin optimization.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Improving generaliza- tion of universal adversarial perturbation via dynamic maximin optimization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.555772Z

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

Observation 0fbd17f6-4a86-4a3c-b76e-910752285ddb · outbound

This paper cites Pb-uap: Hybride universal adversarial attack for image segmentation.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Pb-uap: Hybride universal adversarial attack for image segmentation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.436009Z

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.

Observation 1d8a7bb2-679d-4508-80c0-92340092a7c6 · outbound

This paper cites Bad- Nets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.IEEE Access, 2017.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Bad- Nets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.IEEE Access, 2017

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.423761Z

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.

Observation 8cad499b-7477-490e-9b51-49403805bc88 · outbound

This paper cites Backdoor Learning: A Survey.IEEE Trans.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Backdoor Learning: A Survey.IEEE Trans

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.410279Z

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.

Observation 978b7f2f-dadc-4986-8a01-049512d3a858 · outbound

This paper cites Pointncbw: Towards dataset ownership verification for point clouds via negative clean-label backdoor watermark.IEEE Trans.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Pointncbw: Towards dataset ownership verification for point clouds via negative clean-label backdoor watermark.IEEE Trans

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.396599Z

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.

Observation db5fc1f8-123e-4180-a1a0-de0e74997c09 · outbound

This paper cites Backdoor attack with sparse and invisible trigger.IEEE Trans.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Backdoor attack with sparse and invisible trigger.IEEE Trans

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.306025Z

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.

Observation 0883453a-cbf2-45ce-9057-a60e7fe7fdcf · outbound

This paper cites Just a little human intelligence feedback! unsupervised learning assisted supervised learning data poisoning based backdoor removal.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Just a little human intelligence feedback! unsupervised learning assisted supervised learning data poisoning based backdoor removal

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.213676Z

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.

Observation 8b966ec4-fc1d-4e28-ac19-b518db05155d · outbound

This paper cites Towards a proactive ML approach for detecting backdoor poison samples.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Towards a proactive ML approach for detecting backdoor poison samples

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.134577Z

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.

Observation ab9d5604-7f4b-4288-b2d4-99599068cfa9 · outbound

This paper cites Reverse backdoor distillation: Towards online backdoor attack detection for deep neural network models.IEEE Trans.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Reverse backdoor distillation: Towards online backdoor attack detection for deep neural network models.IEEE Trans

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.119124Z

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.

Observation 89c0890f-5726-4b1a-9aa0-df8dcef23a68 · outbound

This paper cites IBD-PSC: Input-level backdoor detec- tion via parameter-oriented scaling consistency.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks IBD-PSC: Input-level backdoor detec- tion via parameter-oriented scaling consistency

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:34.103168Z

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.

Observation a7c7040d-3e65-4b2b-b1b3-3f62e9d488f7 · outbound

This paper cites Backdoor defense via decoupling the training process.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Backdoor defense via decoupling the training process

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:31.067657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23db8e27-2b58-4970-a0ce-f5e901ee5de3 · outbound

This paper cites Backdoor defense via adaptively splitting poisoned dataset.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Backdoor defense via adaptively splitting poisoned dataset

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.997816Z

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.

Observation 7a5b2db7-ec27-4e5f-a909-74e833dd54b7 · outbound

This paper cites Setting the Trap: Capturing and Defeating Backdoor Threats in PLMs through Honeypots.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Setting the Trap: Capturing and Defeating Backdoor Threats in PLMs through Honeypots

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.955462Z

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.

Observation e4ac43df-aa81-405b-8df6-5a18d2b25c32 · outbound

This paper cites Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Net- works.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Net- works

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.943370Z

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.

Observation 0fed7950-41c6-4846-9b89-5cc94b5a6300 · outbound

This paper cites Umd: Unsupervised model detection for x2x backdoor attacks.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Umd: Unsupervised model detection for x2x backdoor attacks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.931239Z

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.

Observation 5dad7f61-f3d1-45c4-ad70-a1071cc330d7 · outbound

This paper cites MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.919155Z

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.

Observation e839ac97-e1ee-4603-a9fc-01f8da01c23e · outbound

This paper cites SCALE-UP: An efficient black-box input-level backdoor detection via analyzing scaled prediction consistency.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks SCALE-UP: An efficient black-box input-level backdoor detection via analyzing scaled prediction consistency

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.857616Z

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.

Observation 5132ebae-646b-4f9b-baec-3736ea8e3207 · outbound

This paper cites Backdoor secrets unveiled: Identifying backdoor data with optimized scaled prediction consistency.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Backdoor secrets unveiled: Identifying backdoor data with optimized scaled prediction consistency

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.811977Z

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.

Observation f1b340bb-296f-4c25-a7b0-5161cfbc274f · outbound

This paper cites Fine- pruning: Defending against backdooring attacks on deep neural networks.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Fine- pruning: Defending against backdooring attacks on deep neural networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.800505Z

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.

Observation d87c31df-ce54-4647-9c3f-c11138d6bc0a · outbound

This paper cites Adversarial Unlearning of Backdoors via Implicit Hypergradient.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Adversarial Unlearning of Backdoors via Implicit Hypergradient

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.787571Z

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.

Observation ea31ca73-aa73-4592-830e-b00821eb41eb · outbound

This paper cites Towards reliable and efficient backdoor trigger inversion via decoupling benign features.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Towards reliable and efficient backdoor trigger inversion via decoupling benign features

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:31.106048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 374d4d93-eff3-459a-bb79-3eea64fe8bef · outbound

This paper cites Anti-Backdoor Learning: Training Clean Models on Poisoned Data.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Anti-Backdoor Learning: Training Clean Models on Poisoned Data

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.742011Z

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.

Observation 9c78c96e-0f56-4235-84ad-d0d4953c0298 · outbound

This paper cites Backdoor defense via deconfounded representation learning.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Backdoor defense via deconfounded representation learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.659486Z

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.

Observation ef340c87-3eb0-4b0f-8eac-fb33318d4cf8 · outbound

This paper cites Sen- tiNet: Detecting Localized Universal Attacks Against Deep Learning Systems.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Sen- tiNet: Detecting Localized Universal Attacks Against Deep Learning Systems

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.649183Z

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.

Observation 5c6b37dc-2d59-4079-a26a-f4e266cf0393 · outbound

This paper cites Distilling cognitive backdoor patterns within an image.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Distilling cognitive backdoor patterns within an image

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.636077Z

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.

Observation ab1ea636-6569-409f-b28b-f32548c1a33f · outbound

This paper cites Can neural network memorization be localized? InICML, 2023.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Can neural network memorization be localized? InICML, 2023

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.619973Z

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.

Observation a1720868-8f60-45ff-88ff-abd20ea5f93d · outbound

This paper cites From Pixels to Trajectory: Universal Adversarial Example Detection via Temporal Imprints.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks From Pixels to Trajectory: Universal Adversarial Example Detection via Temporal Imprints

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-12T10:13:31.998560Z

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.

Observation 6f1ef045-005e-449b-8191-a6de639a8d32 · outbound

This paper cites Why does little robustness help? a further step towards understanding adversarial transferability.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Why does little robustness help? a further step towards understanding adversarial transferability

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.563133Z

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.

Observation 0fef7c1e-f8c9-4c38-9ff1-827e78180e96 · outbound

This paper cites Towards label-only membership inference attack against pre-trained large language models.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Towards label-only membership inference attack against pre-trained large language models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.379227Z

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.

Observation ef615e06-6beb-4fbb-b4d8-e72e87b66fe1 · outbound

This paper cites Yes,{One- Bit-Flip}matters! universal{DNN}model inference depletion with runtime code fault injection.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Yes,{One- Bit-Flip}matters! universal{DNN}model inference depletion with runtime code fault injection

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.309298Z

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.

Observation e3da99a3-dd56-4309-adf5-38d27efdc916 · outbound

This paper cites Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:31.347700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ab53d8f-8e9e-4240-96d4-87c396a8bdc5 · outbound

This paper cites WaNet – Imperceptible Warping-based Backdoor Attack.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks WaNet – Imperceptible Warping-based Backdoor Attack

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.298145Z

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.

Observation 00ffa933-b827-4aee-b4d9-3fbcf63428ca · outbound

This paper cites Label-Consistent Backdoor Attacks.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Label-Consistent Backdoor Attacks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:31.456740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 595b0c75-6951-4b71-9606-ad9cc9b1e246 · outbound

This paper cites Invisible Backdoor Attack with Sample-Specific Triggers.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Invisible Backdoor Attack with Sample-Specific Triggers

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.287532Z

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.

Observation 837ae483-cac9-4f67-bbfb-285258b21f9b · outbound

This paper cites Watch out! simple horizontal class backdoor can trivially evade defense.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Watch out! simple horizontal class backdoor can trivially evade defense

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.275685Z

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.

Observation c827f207-2b19-4d78-9d63-691df306a28c · outbound

This paper cites Revisiting the Assumption of Latent Separability for Backdoor Defenses.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Revisiting the Assumption of Latent Separability for Backdoor Defenses

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.264600Z

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.

Observation fada85f3-9287-453e-929f-b5663729fa60 · outbound

This paper cites Untargeted backdoor watermark: Towards harmless and stealthy dataset copyright protection.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Untargeted backdoor watermark: Towards harmless and stealthy dataset copyright protection

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.209615Z

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.

Observation e713f631-ebbb-4e0a-8b16-2fb2e0c7fd57 · outbound

This paper cites Untargeted backdoor attack against deep neural networks with imperceptible trigger.IEEE Trans.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Untargeted backdoor attack against deep neural networks with imperceptible trigger.IEEE Trans

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:33.075833Z

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.

Observation 1c89bcc6-7a23-4685-b2a6-7314b686fe06 · outbound

This paper cites Try to poison my deep learning data? nowhere to hide your trajectory spectrum! InNDSS, 2025.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Try to poison my deep learning data? nowhere to hide your trajectory spectrum! InNDSS, 2025

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.864863Z

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.

Observation 4b7d977b-cd6e-4aec-b717-1015eeca73c2 · outbound

This paper cites Strip: A defence against trojan attacks on deep neural networks.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Strip: A defence against trojan attacks on deep neural networks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.810330Z

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.

Observation 0543f87d-2826-42b9-8f44-4bcc516e1600 · outbound

This paper cites Ntd: Non-transferability enabled deep learning backdoor detection.IEEE Trans.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Ntd: Non-transferability enabled deep learning backdoor detection.IEEE Trans

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.799911Z

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.

Observation 9f2b03f4-24c4-4a32-a33f-76820030b736 · outbound

This paper cites Purifying quantization-conditioned backdoors via layer-wise activation correction with distribution approximation.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Purifying quantization-conditioned backdoors via layer-wise activation correction with distribution approximation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.788805Z

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.

Observation 2323d8a4-ab6b-4c25-bf26-64f9a6ad55ed · outbound

This paper cites Detecting backdoor attacks on deep neural networks by activation clustering.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Detecting backdoor attacks on deep neural networks by activation clustering

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.775302Z

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.

Observation fcd27572-9691-40df-9c65-43742fab30a2 · outbound

This paper cites The “beatrix”resurrections: Robust backdoor IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 15 detection via gram matrices.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks The “beatrix”resurrections: Robust backdoor IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 15 detection via gram matrices

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.758634Z

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.

Observation 7b1ea460-f845-4f80-85a8-f6ec5a9713e9 · outbound

This paper cites Grad- cam: Visual explanations from deep networks via gradient-based localization.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Grad- cam: Visual explanations from deep networks via gradient-based localization

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.594181Z

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.

Observation 817a30f7-8de4-48f8-842f-2e531bfaf096 · outbound

This paper cites Adversarial neuron pruning purifies backdoored deep models.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Adversarial neuron pruning purifies backdoored deep models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.431430Z

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.

Observation 7de12a30-e3a7-4157-b889-e402e9796a78 · outbound

This paper cites One-shot neural backdoor erasing via adversarial weight masking.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks One-shot neural backdoor erasing via adversarial weight masking

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.420001Z

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.

Observation 5e33075a-ffd1-415d-8d5d-3edc892342e1 · outbound

This paper cites Neural attention distillation: Erasing backdoor triggers from deep neural networks.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Neural attention distillation: Erasing backdoor triggers from deep neural networks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.406620Z

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.

Observation 3e5c39f7-beed-4d06-94c3-45f948dda046 · outbound

This paper cites Breaking the false sense of security in backdoor defense through re-activation attack.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Breaking the false sense of security in backdoor defense through re-activation attack

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.393626Z

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.

Observation 088dc1f1-2942-4f6b-bda4-8fc5a6ba3e9f · outbound

This paper cites Randomized channel shuffling: Minimal- overhead backdoor attack detection without clean datasets.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Randomized channel shuffling: Minimal- overhead backdoor attack detection without clean datasets

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.349932Z

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.

Observation 3441a424-8e88-4122-ab76-c150897b7ec2 · outbound

This paper cites Umap: Uniform manifold approximation and projection for dimension reduction.J.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Umap: Uniform manifold approximation and projection for dimension reduction.J

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:31.711543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34fbdcf0-c98f-4bbc-9932-64e9c646f90f · outbound

This paper cites hdbscan: Hierarchical density based clustering.J.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks hdbscan: Hierarchical density based clustering.J

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:31.714985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65aae897-3eae-47c1-b55f-0d183b900b83 · outbound

This paper cites Learning Multiple Layers of Features from Tiny Images.Tech.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Learning Multiple Layers of Features from Tiny Images.Tech

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.179196Z

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.

Observation 62fefa54-949e-4083-8a48-7a248b397351 · outbound

This paper cites A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:31.746060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4116b3d-e2f9-4559-b83a-fbab5316b151 · outbound

This paper cites Deep Residual Learning for Image Recognition.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Deep Residual Learning for Image Recognition

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.147840Z

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.

Observation 56ce3f61-4999-4fa5-b6ef-d5b4bc394d0a · outbound

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

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:31.754690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8450e064-ea36-4e1b-8f08-2f3b68fc23ac · outbound

This paper cites Mobilenetv2: Inverted resid- uals and linear bottlenecks.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Mobilenetv2: Inverted resid- uals and linear bottlenecks

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.136160Z

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.

Observation 838660c5-fbf0-4393-9517-c64b857b43ca · outbound

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

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T10:13:31.764318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 159bfb5f-1778-4a0a-bcad-dabd363add72 · outbound

This paper cites Trojaning attack on neural networks.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Trojaning attack on neural networks

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.123111Z

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.

Observation 764a581c-0a1c-423a-a552-7b281bb83883 · outbound

This paper cites Input-Aware Dynamic Backdoor Attack.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Input-Aware Dynamic Backdoor Attack

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.112320Z

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.

Observation c778db1c-03e6-4d2c-8bc5-8d5e9067aa1c · outbound

This paper cites BackdoorBox: A Python Toolbox for Backdoor Learning.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks BackdoorBox: A Python Toolbox for Backdoor Learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.101048Z

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.

Observation 75b0a289-3645-4a58-a315-013eea68a338 · outbound

This paper cites Refine: Inversion-free backdoor defense via model reprogramming.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Refine: Inversion-free backdoor defense via model reprogramming

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.089418Z

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.

Observation 81f738fc-82a5-45a3-ae06-f2bf6d9c7a41 · outbound

This paper cites Spectre: Defending against backdoor attacks using robust covariance estimation.

FLARE: Toward Universal Dataset Purification against Backdoor Attacks Spectre: Defending against backdoor attacks using robust covariance estimation

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:13:32.071982Z

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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