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The detection of adversarial attacks.

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Greatest papers with code

Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness

NeurIPS 2019 KaosEngineer/PriorNetworks

Second, taking advantage of this new training criterion, this paper investigates using Prior Networks to detect adversarial attacks and proposes a generalized form of adversarial training.

ADVERSARIAL ATTACK DETECTION CLASSIFICATION IMAGE CLASSIFICATION OUT-OF-DISTRIBUTION DETECTION

Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks

18 Apr 2019Shawn-Shan/trapdoor

Attackers' optimization algorithms gravitate towards trapdoors, leading them to produce attacks similar to trapdoors in the feature space.

ADVERSARIAL ATTACK DETECTION ADVERSARIAL DEFENSE CLASSIFICATION FACE RECOGNITION TRAFFIC SIGN RECOGNITION

MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks

6 Aug 2019machanic/MetaAdvDet

To solve such few-shot problem with the evolving attack, we propose a meta-learning based robust detection method to detect new adversarial attacks with limited examples.

ADVERSARIAL ATTACK DETECTION META-LEARNING

Towards Feature Space Adversarial Attack

26 Apr 2020qiulingxu/FeatureSpaceAttack

We propose a new adversarial attack to Deep Neural Networks for image classification.

ADVERSARIAL ATTACK DETECTION IMAGE CLASSIFICATION