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 301–325 of 1808 papers

Title	Date	Tasks	Status	Hype
Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions	Mar 30, 2022	3D Object DetectionAdversarial Attack	CodeCode Available	1
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model	Jan 11, 2024	Adversarial Attack	CodeCode Available	1
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning	Oct 13, 2021	Adversarial AttackFederated Learning	CodeCode Available	1
GreedyFool: Distortion-Aware Sparse Adversarial Attack	Oct 26, 2020	Adversarial Attack	CodeCode Available	1
An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape	Apr 24, 2024	Adversarial AttackFace Swapping	CodeCode Available	1
An Efficient Adversarial Attack for Tree Ensembles	Oct 22, 2020	Adversarial Attackvalid	CodeCode Available	1
Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution	Jun 15, 2020	Adversarial Attack	CodeCode Available	1
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds	Mar 8, 2024	3D Point Cloud ClassificationAdversarial Attack	CodeCode Available	1
Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection	Sep 19, 2020	Adversarial AttackCo-Salient Object Detection	CodeCode Available	1
Human-in-the-Loop Generation of Adversarial Texts: A Case Study on Tibetan Script	Dec 17, 2024	Adversarial AttackAdversarial Robustness	CodeCode Available	1
Adversarial Attack and Defense of Structured Prediction Models	Oct 4, 2020	Adversarial AttackDependency Parsing	CodeCode Available	1
Improve robustness of DNN for ECG signal classification:a noise-to-signal ratio perspective	May 18, 2020	Adversarial AttackAdversarial Robustness	CodeCode Available	1
Improving Query Efficiency of Black-box Adversarial Attack	Sep 24, 2020	Adversarial Attack	CodeCode Available	1
An Extensive Study on Adversarial Attack against Pre-trained Models of Code	Nov 13, 2023	Adversarial Attack	CodeCode Available	1
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios	Feb 10, 2022	Adversarial AttackAdversarial Defense	CodeCode Available	1
InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee	Aug 15, 2022	Adversarial AttackHuman Detection	CodeCode Available	1
Random Walks for Adversarial Meshes	Feb 15, 2022	Adversarial AttackClassification	CodeCode Available	1
Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training	Feb 18, 2025	Adversarial AttackText Detection	CodeCode Available	1
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics	Aug 2, 2024	Adversarial AttackAdversarial Purification	CodeCode Available	1
A Survey On Universal Adversarial Attack	Mar 2, 2021	Adversarial AttackSurvey	CodeCode Available	1
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment	May 27, 2025	Adversarial AttackAdversarial Defense	—Unverified	0
A Formalization of Robustness for Deep Neural Networks	Mar 24, 2019	Adversarial Attack	—Unverified	0
Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings	Jan 31, 2025	Adversarial AttackText Detection	—Unverified	0
Affine Disentangled GAN for Interpretable and Robust AV Perception	Jul 6, 2019	Adversarial AttackAutonomous Vehicles	—Unverified	0
AEMIM: Adversarial Examples Meet Masked Image Modeling	Jul 16, 2024	Adversarial AttackRepresentation Learning	—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