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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 1611–1620 of 1808 papers

Title	Date	Tasks	Status	Hype
BOSH: An Efficient Meta Algorithm for Decision-based Attacks	Sep 10, 2019	Adversarial AttackBayesian Optimization	—Unverified	0
STA: Adversarial Attacks on Siamese Trackers	Sep 8, 2019	Adversarial Attack	—Unverified	0
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower	Aug 24, 2019	Adversarial AttackRetrieval	CodeCode Available	0
AdvHat: Real-world adversarial attack on ArcFace Face ID system	Aug 23, 2019	Adversarial AttackReal-World Adversarial Attack	CodeCode Available	0
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation	Aug 14, 2019	Adversarial AttackDenoising	—Unverified	0
Investigating Decision Boundaries of Trained Neural Networks	Aug 7, 2019	Adversarial Attack	—Unverified	0
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks	Aug 6, 2019	Adversarial AttackAdversarial Attack Detection	CodeCode Available	0
A principled approach for generating adversarial images under non-smooth dissimilarity metrics	Aug 5, 2019	Adversarial Attack	CodeCode Available	0
Adversarial Self-Defense for Cycle-Consistent GANs	Aug 5, 2019	Adversarial AttackImage-to-Image Translation	CodeCode Available	0
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models	Aug 4, 2019	Adversarial AttackGraph Embedding	CodeCode Available	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