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Found 3 papers, 1 papers with code
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks
We demonstrate that plugging the learned controller into the attack consistently improves its black-box robustness estimate in different query regimes by up to 20% for a wide range of different models with black-box access.
Efficient Certified Defenses Against Patch Attacks on Image Classifiers
Adversarial patches pose a realistic threat model for physical world attacks on autonomous systems via their perception component.
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation
Adversarial patch attacks are an emerging security threat for real world deep learning applications.
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