5 papers
E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis
Zhisheng Zhang, Derui Wang, Yifan Mi +6
Recent advancements in speech synthesis technology have enriched our daily lives, with high-quality and human-like audio widely adopted across real-world applications. However, mal…
Mirage Fools the Ear, Mute Hides the Truth: Precise Targeted Adversarial Attacks on Polyphonic Sound Event Detection Systems
Junjie Su, Weifei Jin, Yuxin Cao +3
Sound Event Detection (SED) systems are increasingly deployed in safety-critical applications such as industrial monitoring and audio surveillance. However, their robustness agains…
Evaluating Adversarial Protections for Diffusion Personalization: A Comprehensive Study
Kai Ye, Tianyi Chen, Zhen Wang
With the increasing adoption of diffusion models for image generation and personalization, concerns regarding privacy breaches and content misuse have become more pressing. In this…
Attack Effect Model based Malicious Behavior Detection
Limin Wang, Lei Bu, Muzimiao Zhang +2
Traditional security detection methods face three key challenges: inadequate data collection that misses critical security events, resource-intensive monitoring systems, and poor d…
SafeSpeech: Robust and Universal Voice Protection Against Malicious Speech Synthesis
Zhisheng Zhang, Derui Wang, Qianyi Yang +6
Speech synthesis technology has brought great convenience, while the widespread usage of realistic deepfake audio has triggered hazards. Malicious adversaries may unauthorizedly co…