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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 331–340 of 1808 papers

Title	Date	Tasks	Status	Hype
AdvSmo: Black-box Adversarial Attack by Smoothing Linear Structure of Texture	Jun 22, 2022	Adversarial AttackAdversarial Defense	—Unverified	0
Patch Synthesis for Property Repair of Deep Neural Networks	Apr 2, 2024	Adversarial Attack	—Unverified	0
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey	May 6, 2025	Adversarial AttackSurvey	—Unverified	0
Adversarial Attack for Asynchronous Event-based Data	Dec 27, 2021	Adversarial AttackAutonomous Driving	—Unverified	0
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems	Mar 2, 2023	Adversarial AttackAutonomous Vehicles	—Unverified	0
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers	Nov 28, 2018	Action RecognitionAdversarial Attack	—Unverified	0
Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network	Nov 25, 2021	Adversarial AttackDeblurring	—Unverified	0
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification	Nov 29, 2022	Adversarial AttackClassification	—Unverified	0
Adversarial Attacks for Multi-view Deep Models	Jun 19, 2020	Adversarial Attack	—Unverified	0
CE-based white-box adversarial attacks will not work using super-fitting	May 4, 2022	Adversarial AttackAdversarial Robustness	—Unverified	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