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School of Cyber Science and Engineering, Wuhan University
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Forget complex classifiers – this defense against adversarial attacks in collaborative perception uses temporal discrepancies and Bayesian inference to pinpoint malicious vehicles with minimal overhead.
StegaFFD lets you hide faces inside other images to protect privacy during face forgery detection, achieving better accuracy and stealth than existing methods.
Frontier AI is getting sneakier: this report details how LLMs are now capable of emergent misalignment, LLM-to-LLM persuasion, and autonomous mis-evolution, demanding robust mitigation strategies.