FlowMur: A Stealthy and Practical Audio Backdoor Attack with Limited
Knowledge

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FlowMur: A Stealthy and Practical Audio Backdoor Attack with Limited Knowledge

IEEE Symposium on Security and Privacy (S&P), 2023

15 December 2023

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Papers citing "FlowMur: A Stealthy and Practical Audio Backdoor Attack with Limited Knowledge"

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Title
Gradient Norm-based Fine-Tuning for Backdoor Defense in Automatic Speech RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Nanjun Zhou Weilin Lin Li Liu AAML 273 0 0 03 Feb 2025
"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models Isha Gupta David Khachaturov Robert D. Mullins AAML AuLLM 439 5 0 02 Feb 2025
LADDER: Multi-objective Backdoor Attack via Evolutionary AlgorithmNetwork and Distributed System Security Symposium (NDSS), 2024 Dazhuang Liu Yanqi Qiao Rui Wang K. Liang Georgios Smaragdakis AAML 282 0 0 28 Nov 2024
Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective Jiahao Chen Zhiqiang Shen Yuwen Pu Chunyi Zhou Changjiang Li Na Ruan Ting Wang Shouling Ji AAML 195 5 0 21 May 2024
A Backdoor Approach with Inverted Labels Using Dirty Label-Flipping Attacks Orson Mengara AAML 250 6 0 29 Mar 2024
AS-FIBA: Adaptive Selective Frequency-Injection for Backdoor Attack on Deep Face RestorationInternational Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2024 Zhenbo Song Wenhao Gao Kaihao Zhang Tong Lu AAML 210 1 0 11 Mar 2024
Backdoor Attacks against Voice Recognition Systems: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023 Baochen Yan Jiahe Lan Zheng Yan AAML 174 18 0 23 Jul 2023