3 papers
eess.AS2026
Erasing Your Voice Before It's Heard: Training-free Speaker Unlearning for Zero-shot Text-to-Speech
Myungjin Lee, Eunji Shin, Jiyoung Lee
Modern zero-shot text-to-speech (TTS) models offer unprecedented expressivity but also pose serious crime risks, as they can synthesize voices of individuals who never consented. I…
cs.CV2025
CountSteer: Steering Attention for Object Counting in Diffusion Models
Hyemin Boo, Hyoryung Kim, Myungjin Lee +4
Text-to-image diffusion models generate realistic and coherent images but often fail to follow numerical instructions in text, revealing a gap between language and visual represent…
cs.SD2025
TwinShift: Benchmarking Audio Deepfake Detection across Synthesizer and Speaker Shifts
Jiyoung Hong, Yoonseo Chung, Seungyeon Oh +4
Audio deepfakes pose a growing threat, already exploited in fraud and misinformation. A key challenge is ensuring detectors remain robust to unseen synthesis methods and diverse sp…