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Adversarial Defense

Competitions with currently unpublished results:

TrojAI

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 81–90 of 403 papers

Title	Date	Tasks	Status	Hype	Score
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network	Oct 1, 2018	Adversarial Defense	CodeCode Available	0	5
Robust Physics-based Deep MRI Reconstruction Via Diffusion Purification	Sep 11, 2023	Adversarial DefenseImage Reconstruction	CodeCode Available	0	5
A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example Detection	May 19, 2025	Adversarial Attack DetectionAdversarial Defense	CodeCode Available	0	5
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation	May 1, 2022	Adversarial DefenseDensity Estimation	CodeCode Available	0	5
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation	Mar 3, 2022	Adversarial DefenseDensity Estimation	CodeCode Available	0	5
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models	Jun 2, 2023	Adversarial DefenseAdversarial Robustness	CodeCode Available	0	5
AdvFAS: A robust face anti-spoofing framework against adversarial examples	Aug 4, 2023	Adversarial DefenseFace Anti-Spoofing	CodeCode Available	0	5
Detection of Adversarial Examples in NLP: Benchmark and Baseline via Robust Density Estimation	Nov 16, 2021	Adversarial DefenseDensity Estimation	CodeCode Available	0	5
Detection of Word Adversarial Examples in NLP: Benchmark and Baseline via Robust Density Estimation	Jan 16, 2022	Adversarial DefenseDensity Estimation	CodeCode Available	0	5
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch	Feb 20, 2019	Adversarial AttackAdversarial Defense	CodeCode Available	0	5

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All datasets CIFAR-10 ImageNet (non-targeted PGD, max perturbation=4)ImageNet ImageNet (targeted PGD, max perturbation=16)MNIST CAAD 2018 miniImageNet

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	WRN-28-10	Accuracy	90.03	—	Unverified
2	Diffusion Classifier	Accuracy	89.85	—	Unverified
3	Stochastic-LWTA/PGD/WideResNet-34-10	Accuracy	84.3	—	Unverified
4	Ours (Stochastic-LWTA/PGD/WideResNet-34-5)	Accuracy	83.4	—	Unverified
5	Ours (Stochastic-LWTA/PGD/WideResNet-34-1)	Accuracy	81.87	—	Unverified
6	ResNet18 (TRADES-ANCRA/PGD-40)	Accuracy	81.7	—	Unverified
7	Stochastic-LWTA/PGD/WideResNet-34-5	Attack: AutoAttack	81.22	—	Unverified
8	PCL (against PGD, white box)	Accuracy	46.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SAT-EfficientNet-L1	Accuracy	58.6	—	Unverified
2	LLR-ResNet-152	Accuracy	47	—	Unverified
3	ResNet-152 free-m=4	Accuracy	36	—	Unverified
4	ResNet-101 free-m=4	Accuracy	34.3	—	Unverified
5	ResNet-50 free-m=4	Accuracy	31.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet101	Accuracy	99.8	—	Unverified
2	InceptionV3	Accuracy	98.6	—	Unverified
3	Feature Denoising	Accuracy	49.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet-152 Denoise	Accuracy	42.8	—	Unverified
2	ResNeXt-101 DenoiseAll	Accuracy	40.4	—	Unverified
3	ResNet-152	Accuracy	39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Defense GAN	Accuracy	0.85	—	Unverified
2	PuVAE	Accuracy	0.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Feature Denoising	Accuracy	50.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Auto Encoder-Block Switching defense with GradCAM	Accuracy	88.54	—	Unverified