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 1526–1550 of 1808 papers

Title	Date	Tasks	Status
Imperceptible Face Forgery Attack via Adversarial Semantic Mask	Jun 16, 2024	Adversarial Attack	CodeCode Available
Adversarial Attack for RGB-Event based Visual Object Tracking	Apr 19, 2025	Adversarial AttackObject Tracking	CodeCode Available
Adversarial Attack and Defense on Graph Data: A Survey	Dec 26, 2018	Adversarial Attackimage-classification	CodeCode Available
Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing	Mar 24, 2023	Adversarial AttackAdversarial Robustness	CodeCode Available
Provable defenses against adversarial examples via the convex outer adversarial polytope	Nov 2, 2017	Adversarial Attack	CodeCode Available
Improved Network Robustness with Adversary Critic	Oct 30, 2018	Adversarial Attack	CodeCode Available
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior	May 29, 2024	Adversarial AttackBayesian Optimization	CodeCode Available
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack	Apr 3, 2019	Adversarial Attack	CodeCode Available
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks	Nov 10, 2020	Adversarial AttackBayesian Inference	CodeCode Available
Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models	Oct 11, 2023	Adversarial AttackDenoising	CodeCode Available
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature	May 2, 2023	Adversarial Attack	CodeCode Available
Robustness for Non-Parametric Classification: A Generic Attack and Defense	Jun 7, 2019	Adversarial AttackAdversarial Defense	CodeCode Available
Pyramid Adversarial Training Improves ViT Performance	Nov 30, 2021	Adversarial AttackData Augmentation	CodeCode Available
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems	Mar 19, 2021	Adversarial AttackAutomatic Speech Recognition	CodeCode Available
Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges	Mar 24, 2023	Adversarial AttackMedical Diagnosis	CodeCode Available
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples	Sep 13, 2017	Adversarial AttackAdversarial Robustness	CodeCode Available
Quantum Computing Supported Adversarial Attack-Resilient Autonomous Vehicle Perception Module for Traffic Sign Classification	Apr 17, 2025	Adversarial AttackDeep Learning	CodeCode Available
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network	Apr 7, 2021	Adversarial AttackDeep Reinforcement Learning	CodeCode Available
Cluster Attack: Query-based Adversarial Attacks on Graphs with Graph-Dependent Priors	Sep 27, 2021	Adversarial AttackClustering	CodeCode Available
Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning	Nov 5, 2024	Adversarial AttackFederated Learning	CodeCode Available
Query-Efficient Adversarial Attack Based on Latin Hypercube Sampling	Jul 5, 2022	Adversarial Attack	CodeCode Available
Dynamic Transformers Provide a False Sense of Efficiency	May 20, 2023	Adversarial Attack	CodeCode Available
Improving the Generalization of Adversarial Training with Domain Adaptation	Oct 1, 2018	Adversarial AttackDomain Adaptation	CodeCode Available
Query-Efficient Black-box Adversarial Examples (superceded)	Dec 19, 2017	Adversarial Attack	CodeCode Available
Improving the robustness and accuracy of biomedical language models through adversarial training	Nov 16, 2021	Adversarial Attack	CodeCode Available

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All datasets CIFAR-10 CIFAR-100

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ResNet20	Test Acc	90.1	90.1(1)	Community Verified
2	ResNet20	Test Accuracy	89.95	89.95(1)	Community Verified
3	ResNet20	Test Acc	89.5	90.1(1)	Community Verified
4	Xu et al.	Attack: PGD20	78.68	—	Unverified
5	3-ensemble of multi-resolution self-ensembles	Attack: AutoAttack	78.13	—	Unverified
6	TRADES-ANCRA/ResNet18	Attack: AutoAttack	59.7	—	Unverified
7	AdvTraining [madry2018]	Attack: PGD20	48.44	—	Unverified
8	TRADES [zhang2019b]	Attack: PGD20	45.9	—	Unverified
9	XU-Net	Robust Accuracy	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet20	Test Acc	80.4	—	Community Verified
2	3-ensemble of multi-resolution self-ensembles	Attack: AutoAttack	51.28	—	Unverified
3	multi-resolution self-ensembles	Attack: AutoAttack	47.85	—	Unverified