Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization | Paper Citation Record

Observation c8acf341-21a7-4425-a320-9d87ef13497f · outbound

This paper cites Entropy-sgd: Biasing gradient descent into wide valleys.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Entropy-sgd: Biasing gradient descent into wide valleys

Reference 1

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Observation a6a17c65-977b-40f8-8051-446e005edcbc · outbound

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

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering

Reference 2

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Observation 8814c1c0-af44-4d19-9dcc-ca52366808f8 · outbound

This paper cites Effective backdoor defense by exploiting sensitivity of poisoned sam- ples.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Effective backdoor defense by exploiting sensitivity of poisoned sam- ples

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.325319Z

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Observation 9a7ff392-3d8f-4b41-a61d-19cf4d150020 · outbound

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

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 4

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Observation 38efff1b-a1f5-48c8-86de-3673e7c4ffe1 · outbound

This paper cites When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:00.602328Z

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Observation 737fe69e-c307-4044-b20f-e3c010df2e54 · outbound

This paper cites Certified adversarial robustness via randomized smoothing.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Certified adversarial robustness via randomized smoothing

Reference 6

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Observation de7fb254-084d-4299-8a6d-e130f0e9f9f0 · outbound

This paper cites Lira: Learnable, imperceptible and robust backdoor attacks.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Lira: Learnable, imperceptible and robust backdoor attacks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.305332Z

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Observation e33f95d3-cfdd-4764-91a8-4f80efd615bd · outbound

This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Sharpness-Aware Minimization for Efficiently Improving Generalization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:00.614002Z

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Observation 8f77cbc2-da52-4c17-8252-b07f142fa72b · outbound

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

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Strip: A defence against trojan attacks on deep neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.294148Z

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Observation b7bd5007-d17c-49a1-84bf-90f3ca664e61 · outbound

This paper cites Badnets: Evaluating backdooring attacks on deep neu- ral networks.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Badnets: Evaluating backdooring attacks on deep neu- ral networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.283117Z

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Observation 70aa0f17-d7c8-47c5-9f4b-6063add555c6 · outbound

This paper cites Scale-up: An efficient black-box input-level backdoor detection via analyzing scaled predic- tion consistency.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Scale-up: An efficient black-box input-level backdoor detection via analyzing scaled predic- tion consistency

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.272365Z

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Observation 08396100-405f-4d7f-b7d5-9266cdd30484 · outbound

This paper cites Spectre: Defending against backdoor attacks us- ing robust statistics.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Spectre: Defending against backdoor attacks us- ing robust statistics

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.260394Z

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Observation 793da2a4-0254-47e2-8b17-5970b7c4e4c5 · outbound

This paper cites Deep residual learning for image recognition.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Deep residual learning for image recognition

Reference 13

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Observation 8b458ab4-18f6-43ce-9fe5-d259608a6aba · outbound

This paper cites Flat minima.Neu- ral computation, 9(1):1–42, 1997.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Flat minima.Neu- ral computation, 9(1):1–42, 1997

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.240099Z

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Observation 4b1e9771-c1c1-4d71-8e2d-15059d787d60 · outbound

This paper cites Densely connected convolutional net- works.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Densely connected convolutional net- works

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:00.641351Z

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Observation a211fe67-f009-4b49-8f70-8f4f4d074a1d · outbound

This paper cites Distilling Cognitive Backdoor Patterns within an Image.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Distilling Cognitive Backdoor Patterns within an Image

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:28:00.902768Z

Source-reported events for the cited work

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Observation a55594ac-e62e-4c80-af88-940686cdf0a8 · outbound

This paper cites Backdoor defense via decoupling the training process.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Backdoor defense via decoupling the training process

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.220410Z

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Observation 5c388cf6-b4d0-423b-9d0e-58cc0b5b8934 · outbound

This paper cites Learning multiple layers of features from tiny images.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Learning multiple layers of features from tiny images

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:00.652437Z

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Observation 93f48b33-49f7-45fa-8e0a-a18169489e6e · outbound

This paper cites Asam: Adaptive sharpness-aware minimiza- tion for scale-invariant learning of deep neural networks.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Asam: Adaptive sharpness-aware minimiza- tion for scale-invariant learning of deep neural networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.200387Z

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Observation a131dbcd-53c8-488b-8392-68afce8420a1 · outbound

This paper cites Invisible backdoor attack with sample- specific triggers.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Invisible backdoor attack with sample- specific triggers

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.188941Z

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Observation c32c949d-92bd-4f45-936d-ca92bee18ff0 · outbound

This paper cites Anti-backdoor learning: Training clean models on poisoned data.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Anti-backdoor learning: Training clean models on poisoned data

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.178058Z

Source-reported events for the cited work

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Observation 6a927f83-cd41-4143-92a6-c4940c54ca0e · outbound

This paper cites Reconstructive neuron prun- ing for backdoor defense.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Reconstructive neuron prun- ing for backdoor defense

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.166693Z

Source-reported events for the cited work

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Observation 8715760a-0217-4c0c-b40f-7b6372769032 · outbound

This paper cites Badclip: Dual- embedding guided backdoor attack on multimodal con- trastive learning.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Badclip: Dual- embedding guided backdoor attack on multimodal con- trastive learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.154915Z

Source-reported events for the cited work

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Observation 7c46ec45-8bad-4c6c-8c94-17d0c3c4428e · outbound

This paper cites Trojaning attack on neural networks.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Trojaning attack on neural networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.144310Z

Source-reported events for the cited work

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Observation a93493e6-16ae-422a-a49d-79ef3be89578 · outbound

This paper cites The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram Matrices.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram Matrices

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:00.678626Z

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Observation 254d88f3-1037-441f-a95e-7260a8e0b925 · outbound

This paper cites Wanet - impercepti- ble warping-based backdoor attack.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Wanet - impercepti- ble warping-based backdoor attack

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.132582Z

Source-reported events for the cited work

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Observation 374eb4f0-2446-4f41-b73e-aa57c4cc7629 · outbound

This paper cites Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:00.686526Z

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Observation 2d06d89d-6641-47f3-962a-acd4cb929aa9 · outbound

This paper cites Revisiting the assumption of latent sep- arability for backdoor defenses.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Revisiting the assumption of latent sep- arability for backdoor defenses

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.121018Z

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Observation 0811d4a1-2d20-447c-a356-9254c1bcbd80 · outbound

This paper cites Silhouettes: a graphical aid to the inter- pretation and validation of cluster analysis.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Silhouettes: a graphical aid to the inter- pretation and validation of cluster analysis

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.110366Z

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Observation 604ae2b7-375a-494a-8158-06ed58a5c90e · outbound

This paper cites Imagenet large scale visual recognition challenge.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Imagenet large scale visual recognition challenge

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:00.698085Z

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Observation fadb5a83-16a6-4aac-94e9-061e803a6f22 · outbound

This paper cites When llm meets hypergraph: A sociological analysis on personality via online social networks.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization When llm meets hypergraph: A sociological analysis on personality via online social networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.092702Z

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Observation 26d32b29-c81c-409b-a40d-e687fa7dad45 · outbound

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

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:00.705415Z

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Observation 035dc9a9-9bf4-4652-ada7-94a3902e3844 · outbound

This paper cites Sleeper agent: Scalable hidden trigger backdoors for neural networks trained from scratch.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Sleeper agent: Scalable hidden trigger backdoors for neural networks trained from scratch

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.081340Z

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Observation a2e05a90-969d-4ace-a2dd-90b7d9234d68 · outbound

This paper cites The german traffic sign recognition bench- mark: a multi-class classification competition.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization The german traffic sign recognition bench- mark: a multi-class classification competition

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:00.712861Z

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Observation 1d780cfa-7a2a-4df7-8dd1-8dd959134ce4 · outbound

This paper cites Demon in the variant: Statistical analysis of {DNNs} for ro- bust backdoor contamination detection.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Demon in the variant: Statistical analysis of {DNNs} for ro- bust backdoor contamination detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.062871Z

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Observation 30a166f0-1c60-43d2-be74-83417848601e · outbound

This paper cites Spectral sig- natures in backdoor attacks.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Spectral sig- natures in backdoor attacks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.052018Z

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Observation 191d6971-b2d6-4b7f-ba5c-3e9e0959c1cd · outbound

This paper cites Label-Consistent Backdoor Attacks.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Label-Consistent Backdoor Attacks

Reference 37

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Observation 48453bb3-384d-4346-9b9b-9013d9e50bd1 · outbound

This paper cites Shared adversarial unlearning: Backdoor mitigation by unlearning shared adversarial examples.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Shared adversarial unlearning: Backdoor mitigation by unlearning shared adversarial examples

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.040967Z

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Observation c8a12ce8-0fc1-4949-850d-1156ec4c6591 · outbound

This paper cites Backdoor- bench: A comprehensive benchmark of backdoor learning.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Backdoor- bench: A comprehensive benchmark of backdoor learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.030013Z

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Observation 2be40452-340a-4af1-b554-cd39f54a0112 · outbound

This paper cites Defenses in Adversarial Machine Learning: A Survey.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Defenses in Adversarial Machine Learning: A Survey

Reference 40

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Observation 945ac8f0-f681-4117-8543-5d5307f36993 · outbound

This paper cites BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:00.739588Z

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Observation a826c0b0-3f6c-49ec-92fa-18eeff8bd848 · outbound

This paper cites Adversarial neuron prun- ing purifies backdoored deep models.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Adversarial neuron prun- ing purifies backdoored deep models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.018810Z

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Observation 3ad35c22-a607-487b-81ac-49fd5eda5afd · outbound

This paper cites Introspection of dnn-based perception functions in au- tomated driving systems: State-of-the-art and open research challenges.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Introspection of dnn-based perception functions in au- tomated driving systems: State-of-the-art and open research challenges

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:01.006867Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b58174a1-4b20-4949-acff-9adc6b4dd1f9 · outbound

This paper cites Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:00.750435Z

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Observation 78fa8ac0-b7ad-4185-bbd4-afafba7859a5 · outbound

This paper cites Rethink- ing the backdoor attacks’ triggers: A frequency perspective.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Rethink- ing the backdoor attacks’ triggers: A frequency perspective

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:00.995727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ede0ad55-d29a-49ba-a934-b74eb2abfaa1 · outbound

This paper cites Data- free backdoor removal based on channel lipschitzness.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Data- free backdoor removal based on channel lipschitzness

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:00.983280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f330b6d-07b6-4605-9f4a-92f2c6ccf398 · outbound

This paper cites Enhancing fine-tuning based backdoor defense with sharpness-aware minimization.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Enhancing fine-tuning based backdoor defense with sharpness-aware minimization

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:00.972163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1bf0445f-109c-4e5d-b2c0-94182cf4647a · outbound

This paper cites Neural polarizer: A lightweight and effective backdoor de- fense via purifying poisoned features.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Neural polarizer: A lightweight and effective backdoor de- fense via purifying poisoned features

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:28:00.961130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eedfc425-9e4c-4582-a764-b125600950d9 · outbound

This paper cites Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:00.768438Z

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Observation 94bd5599-701d-4256-81db-8608f6d73c7b · outbound

This paper cites Surrogate Gap Minimization Improves Sharpness-Aware Training.

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Surrogate Gap Minimization Improves Sharpness-Aware Training

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:00.772011Z

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