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DFaP: Data Filtering and Purification Against Backdoor Attacks

Title: DFaP: Data Filtering and Purification Against Backdoor Attacks
Authors: Wang, HaochenAff10; Mu, TianshiAff11; Feng, GuocongAff12; Wu, ShangBoAff10; Li, YuanzhangAff10
Contributors: Goos, Gerhard, Founding EditorAff1; Hartmanis, Juris, Founding EditorAff2; Bertino, Elisa, Editorial Board MemberAff3; Gao, Wen, Editorial Board MemberAff4; Steffen, Bernhard, Editorial Board MemberAff5; Yung, Moti, Editorial Board MemberAff6; Vaidya, Jaideep, editorAff7; Gabbouj, Moncef, editorAff8; Li, Jin, editorAff9
Source: Artificial Intelligence Security and Privacy : First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, Guangzhou, China, December 3–5, 2023, Proceedings, Part I. 14509:81-97
Database: Springer Nature eBooks