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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 1421–1430 of 1808 papers

Title	Date	Tasks	Status	Hype	Score
Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xApp	May 3, 2025	Adversarial Attack	—Unverified	0	0
ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints	Jan 5, 2022	Adversarial AttackBIG-bench Machine Learning	—Unverified	0	0
Adversarial Attacks on Deep Graph Matching	Dec 1, 2020	Adversarial AttackDensity Estimation	—Unverified	0	0
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation	Aug 6, 2023	Adversarial AttackDepth Estimation	—Unverified	0	0
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over the Simplex	Sep 25, 2019	Adversarial AttackBayesian Inference	—Unverified	0	0
UNBUS: Uncertainty-aware Deep Botnet Detection System in Presence of Perturbed Samples	Apr 18, 2022	Adversarial Attack	—Unverified	0	0
SAD: Saliency-based Defenses Against Adversarial Examples	Mar 10, 2020	Adversarial AttackMusic Genre Recognition	—Unverified	0	0
Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection	Mar 17, 2021	Adversarial AttackAutonomous Vehicles	—Unverified	0	0
Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors	May 17, 2024	Adversarial Attack	—Unverified	0	0
Adversarial attacks on audio source separation	Oct 7, 2020	Adversarial AttackAudio Source Separation	—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