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Adversarial Attack

An Adversarial Attack is a technique to find a perturbation that changes the prediction of a machine learning model. The perturbation can be very small and imperceptible to human eyes.

Source: Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1471–1480 of 1808 papers

Title	Date	Tasks	Status	Hype	Score
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing	Oct 23, 2024	Adversarial AttackBackdoor Attack	—Unverified	0	0
AutoAugment Input Transformation for Highly Transferable Targeted Attacks	Dec 21, 2023	Adversarial Attack	—Unverified	0	0
AutoAdversary: A Pixel Pruning Method for Sparse Adversarial Attack	Mar 18, 2022	Adversarial AttackNetwork Pruning	—Unverified	0	0
Augmented Adversarial Trigger Learning	Mar 16, 2025	Adversarial Attack	—Unverified	0	0
Bandlimiting Neural Networks Against Adversarial Attacks	May 30, 2019	Adversarial Attack	—Unverified	0	0
BankTweak: Adversarial Attack against Multi-Object Trackers by Manipulating Feature Banks	Aug 22, 2024	Adversarial AttackMulti-Object Tracking	—Unverified	0	0
Aug-ILA: More Transferable Intermediate Level Attacks with Augmented References	Sep 29, 2021	Adversarial AttackImage Augmentation	—Unverified	0	0
CE-based white-box adversarial attacks will not work using super-fitting	May 4, 2022	Adversarial AttackAdversarial Robustness	—Unverified	0	0
Audio Adversarial Examples: Attacks Using Vocal Masks	Feb 4, 2021	Adversarial AttackSpeech-to-Text	—Unverified	0	0
BB-Patch: BlackBox Adversarial Patch-Attack using Zeroth-Order Optimization	May 9, 2024	Adversarial AttackDeep Learning	—Unverified	0	0

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All datasets CIFAR-10 CIFAR-100

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Xu et al.	Attack: PGD20	78.68	—	Unverified
2	3-ensemble of multi-resolution self-ensembles	Attack: AutoAttack	78.13	—	Unverified
3	TRADES-ANCRA/ResNet18	Attack: AutoAttack	59.7	—	Unverified
4	AdvTraining [madry2018]	Attack: PGD20	48.44	—	Unverified
5	TRADES [zhang2019b]	Attack: PGD20	45.9	—	Unverified
6	XU-Net	Robust Accuracy	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	3-ensemble of multi-resolution self-ensembles	Attack: AutoAttack	51.28	—	Unverified
2	multi-resolution self-ensembles	Attack: AutoAttack	47.85	—	Unverified