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Reverse engineering adversarial attacks with fingerprints from adversarial examples
Adversarial examples are typically generated by an attack algorithm that optimizes a perturbation added to a benign input.
Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning
Semi-supervised learning methods can train high-accuracy machine learning models with a fraction of the labeled training samples required for traditional supervised learning.
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