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 1651–1675 of 1808 papers

Title	Date	Tasks	Status
Revisiting DeepFool: generalization and improvement	Mar 22, 2023	Adversarial AttackAdversarial Robustness	CodeCode Available
Adversarial Attack via Dual-Stage Network Erosion	Jan 1, 2022	Adversarial Attack	CodeCode Available
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration	Mar 7, 2023	Adversarial Attack	CodeCode Available
Logits are predictive of network type	Nov 4, 2022	Adversarial AttackVocal Bursts Type Prediction	CodeCode Available
Look Closer to Your Enemy: Learning to Attack via Teacher-Student Mimicking	Jul 27, 2022	Adversarial AttackDomain Adaptation	CodeCode Available
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate	May 22, 2024	Adversarial AttackAttribute	CodeCode Available
AdjointDEIS: Efficient Gradients for Diffusion Models	May 23, 2024	Adversarial Attack	CodeCode Available
LP-BFGS attack: An adversarial attack based on the Hessian with limited pixels	Oct 26, 2022	Adversarial Attack	CodeCode Available
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World	Jul 14, 2023	Adversarial AttackObject	CodeCode Available
Adversarial Attack Generation Empowered by Min-Max Optimization	Jun 9, 2019	Adversarial AttackAdversarial Robustness	CodeCode Available
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision	Oct 6, 2021	Adversarial AttackEvent-based vision	CodeCode Available
Susceptibility of Adversarial Attack on Medical Image Segmentation Models	Jan 20, 2024	Adversarial AttackImage Segmentation	CodeCode Available
RoBIC: A benchmark suite for assessing classifiers robustness	Feb 10, 2021	Adversarial Attack	CodeCode Available
Disrupting Adversarial Transferability in Deep Neural Networks	Aug 27, 2021	Adversarial AttackFeature Correlation	CodeCode Available
A New Perspective on Stabilizing GANs training: Direct Adversarial Training	Aug 19, 2020	Adversarial AttackImage Generation	CodeCode Available
Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems	Jun 13, 2023	Adversarial AttackFace Swapping	CodeCode Available
Unfooling Perturbation-Based Post Hoc Explainers	May 29, 2022	Adversarial AttackAnomaly Detection	CodeCode Available
Demonstration of an Adversarial Attack Against a Multimodal Vision Language Model for Pathology Imaging	Jan 4, 2024	Adversarial AttackDomain Adaptation	CodeCode Available
SVASTIN: Sparse Video Adversarial Attack via Spatio-Temporal Invertible Neural Networks	Jun 4, 2024	Adversarial Attack	CodeCode Available
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models	Aug 14, 2017	Adversarial AttackAdversarial Defense	CodeCode Available
Different Spectral Representations in Optimized Artificial Neural Networks and Brains	Aug 22, 2022	Adversarial AttackAdversarial Robustness	CodeCode Available
Switching Transferable Gradient Directions for Query-Efficient Black-Box Adversarial Attacks	Sep 15, 2020	Adversarial Attack	CodeCode Available
Towards Safe Synthetic Image Generation On the Web: A Multimodal Robust NSFW Defense and Million Scale Dataset	Apr 16, 2025	Adversarial AttackImage Generation	CodeCode Available
Differentiable Adversarial Attacks for Marked Temporal Point Processes	Jan 17, 2025	Adversarial AttackPoint Processes	CodeCode Available
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks	Aug 6, 2019	Adversarial AttackAdversarial Attack Detection	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