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 1426–1450 of 1808 papers

Title	Date	Tasks	Status
Exacerbating Algorithmic Bias through Fairness Attacks	Dec 16, 2020	Adversarial AttackBIG-bench Machine Learning	CodeCode Available
Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks	Jul 15, 2021	Adversarial AttackContrastive Learning	CodeCode Available
PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards	Aug 24, 2020	Adversarial AttackBIG-bench Machine Learning	CodeCode Available
EvoBA: An Evolution Strategy as a Strong Baseline forBlack-Box Adversarial Attacks	Jul 12, 2021	Adversarial Attack	CodeCode Available
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization	May 28, 2018	Adversarial AttackAdversarial Robustness	CodeCode Available
Person Text-Image Matching via Text-Feature Interpretability Embedding and External Attack Node Implantation	Nov 16, 2022	Adversarial AttackDiversity	CodeCode Available
Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components	Dec 1, 2019	Adversarial AttackClassification	CodeCode Available
Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models	Aug 15, 2024	Adversarial AttackLanguage Modeling	CodeCode Available
Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training	Mar 2, 2021	Adversarial AttackAdversarial Robustness	CodeCode Available
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain	May 19, 2019	Adversarial Attack	CodeCode Available
Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems	May 14, 2025	Adversarial AttackAdversarial Robustness	CodeCode Available
Generate synthetic samples from tabular data	Sep 12, 2022	Adversarial Attack	CodeCode Available
Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images	Feb 13, 2023	Adversarial AttackObject	CodeCode Available
Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense	Mar 19, 2022	Adversarial Attack	CodeCode Available
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests	Feb 7, 2022	Adversarial AttackVocal Bursts Valence Prediction	CodeCode Available
Cheating Automatic Short Answer Grading: On the Adversarial Usage of Adjectives and Adverbs	Jan 20, 2022	Adversarial Attackautomatic short answer grading	CodeCode Available
Generating Natural Adversarial Examples	Oct 31, 2017	Adversarial Attackimage-classification	CodeCode Available
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency	Jul 1, 2019	Adversarial AttackClassification	CodeCode Available
Certified Defenses against Adversarial Examples	Jan 29, 2018	Adversarial AttackAdversarial Defense	CodeCode Available
A practical approach to evaluating the adversarial distance for machine learning classifiers	Sep 5, 2024	Adversarial AttackAdversarial Robustness	CodeCode Available
Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection	Jul 17, 2024	Adversarial Attack	CodeCode Available
Generating Textual Adversaries with Minimal Perturbation	Nov 12, 2022	Adversarial Attack	CodeCode Available
Generating Unrestricted 3D Adversarial Point Clouds	Nov 17, 2021	Adversarial AttackGenerative Adversarial Network	CodeCode Available
CAPAA: Classifier-Agnostic Projector-Based Adversarial Attack	Jun 1, 2025	Adversarial Attack	CodeCode Available
Adversarial attacks on neural networks through canonical Riemannian foliations	Mar 2, 2022	Adversarial Attack	CodeCode Available

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All datasets CIFAR-10 CIFAR-100

Benchmark Results

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