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Found 3 papers, 3 papers with code
APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses
To further evaluate the attack and defense capabilities of these poisoning methods, we have developed a benchmark -- APBench for assessing the efficacy of adversarial poisoning.
Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks
In this paper, we introduce the UEraser method, which outperforms current defenses against different types of state-of-the-art unlearnable example attacks through a combination of effective data augmentation policies and loss-maximizing adversarial augmentations.
Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation
Open software supply chain attacks, once successful, can exact heavy costs in mission-critical applications.
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