Researchers Propose An Invisible Backdoor Attack Dubbed DEBA

As deep neural networks (DNNs) become more prevalent, concerns over their security against backdoor attacks that implant hidden malicious functionalities have grown.  Cybersecurity researchers (Wenmin Chen and Xiaowei Xu) recently proposed DEBA, an invisible backdoor attack leveraging singular value decomposition (SVD) to embed imperceptible triggers during model training, causing predefined malicious behaviors. DEBA replaces minor […]

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