2 citations · 2 across the 8 of their papers we have counts for
5 papers · 1 filter
Beyond Inference Intervention: Identity-Decoupled Diffusion for Face Anonymization
Haoxin Yang, Yihong Lin, Jingdan Kang +4
Face anonymization aims to conceal identity information while preserving non-identity attributes. Mainstream diffusion models rely on inference-time interventions such as negative…
Towards Imperceptible Adversarial Defense: A Gradient-Driven Shield against Facial Manipulations
Yue Li, Linying Xue, Dongdong Lin +3
With the flourishing prosperity of generative models, manipulated facial images have become increasingly accessible, raising concerns regarding privacy infringement and societal tr…
SOLIDO: A Robust Watermarking Method for Speech Synthesis via Low-Rank Adaptation
Yue Li, Weizhi Liu, Dongdong Lin
The accelerated advancement of speech generative models has given rise to security issues, including model infringement and unauthorized abuse of content. Although existing generat…
TriniMark: A Robust Generative Speech Watermarking Method for Trinity-Level Traceability
Yue Li, Weizhi Liu, Kaiqing Lin +2
Diffusion-based speech generation has achieved remarkable fidelity, increasing the risk of misuse and unauthorized redistribution. However, most existing generative speech watermar…
Protecting Your Voice: Temporal-aware Robust Watermarking
Yue Li, Weizhi Liu, Dongdong Lin +2
The rapid advancement of generative models has led to the synthesis of real-fake ambiguous voices. To erase the ambiguity, embedding watermarks into the frequency-domain features o…