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 251–275 of 1808 papers

Title	Date	Tasks	Status	Hype
An Efficient Adversarial Attack for Tree Ensembles	Oct 22, 2020	Adversarial Attackvalid	CodeCode Available	1
Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic Traders	Oct 19, 2020	Adversarial AttackAlgorithmic Trading	CodeCode Available	1
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations	Oct 15, 2020	Adversarial Attack	CodeCode Available	1
Towards Resistant Audio Adversarial Examples	Oct 14, 2020	Adversarial Attackspeech-recognition	CodeCode Available	1
Adversarial Attack and Defense of Structured Prediction Models	Oct 4, 2020	Adversarial AttackDependency Parsing	CodeCode Available	1
Adversarial Examples in Deep Learning for Multivariate Time Series Regression	Sep 24, 2020	Adversarial AttackDeep Learning	CodeCode Available	1
Improving Query Efficiency of Black-box Adversarial Attack	Sep 24, 2020	Adversarial Attack	CodeCode Available	1
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations	Sep 21, 2020	Adversarial AttackAdversarial Defense	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
OpenAttack: An Open-source Textual Adversarial Attack Toolkit	Sep 19, 2020	Adversarial Attack	CodeCode Available	1
Contextualized Perturbation for Textual Adversarial Attack	Sep 16, 2020	Adversarial AttackLanguage Modeling	CodeCode Available	1
Adversarial Attack on Large Scale Graph	Sep 8, 2020	Adversarial Attack	CodeCode Available	1
Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems	Aug 18, 2020	Adversarial AttackAdversarial Robustness	CodeCode Available	1
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks	Aug 9, 2020	Adversarial AttackImage Classification	CodeCode Available	1
Robust Deep Reinforcement Learning through Adversarial Loss	Aug 5, 2020	Adversarial AttackAtari Games	CodeCode Available	1
Sparse Adversarial Attack via Perturbation Factorization	Aug 1, 2020	Adversarial Attack	CodeCode Available	1
SemanticAdv: Generating Adversarial Examples via Attribute-conditioned Image Editing	Aug 1, 2020	Adversarial AttackAttribute	CodeCode Available	1
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction	Aug 1, 2020	Adversarial AttackAdversarial Defense	CodeCode Available	1
Robust Tracking against Adversarial Attacks	Jul 20, 2020	Adversarial Attack	CodeCode Available	1
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering	Jul 19, 2020	Adversarial AttackData Augmentation	CodeCode Available	1
Adversarial Immunization for Certifiable Robustness on Graphs	Jul 19, 2020	Adversarial AttackBilevel Optimization	CodeCode Available	1
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows	Jul 15, 2020	Adversarial Attack	CodeCode Available	1
Patch-wise Attack for Fooling Deep Neural Network	Jul 14, 2020	Adversarial AttackImage Classification	CodeCode Available	1
Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection	Jul 10, 2020	Adversarial Attack	CodeCode Available	1
Black-box Adversarial Example Generation with Normalizing Flows	Jul 6, 2020	Adversarial Attack	CodeCode Available	1

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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