In an era where deep learning models increasingly power critical systems from self-driving cars to medical devices, security researchers have unveiled DeBackdoor, an innovative framework designed to detect stealthy backdoor attacks before deployment. Backdoor attacks, among the most effective and covert threats to deep learning, involve injecting hidden triggers that cause models to behave maliciously […]
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