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cs.CR2026
Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS Models
Kunlin Cai, Kaiyuan Zhang, Zihang Xiang +4
Text-to-Speech (TTS) foundation models are increasingly fine-tuned on private datasets to synthesize highly personalized voices, introducing severe privacy risks by exposing both b…
cs.CR2025
Tight Privacy Audit in One Run
Zihang Xiang, Tianhao Wang, Hanshen Xiao +2
In this paper, we study the problem of privacy audit in one run and show that our method achieves tight audit results for various differentially private protocols. This includes ob…
cs.CR2025
Privacy Audit as Bits Transmission: (Im)possibilities for Audit by One Run
Zihang Xiang, Tianhao Wang, Di Wang
Auditing algorithms' privacy typically involves simulating a game-based protocol that guesses which of two adjacent datasets was the original input. Traditional approaches require…