The USTC-NERCSLIP System for the Track 1.2 of Audio Deepfake Detection (ADD 2023) Challenge. - Haochen Wu; Zhuhai Li; Luzhen Xu; Zhentao Zhang; Wenting Zhao; Bin Gu 004; Yang Ai; Yexin Lu; Jie Zhang 042; Zhenhua Ling; Wu Guo (DADA@IJCAI, 2023)

Generating High-Quality Adversarial Examples with Universal Perturbation-Based Adaptive Network and Improved Perceptual Loss. - Zhuhai Li; Wu Guo; Jie Zhang (ICASSP, 2024)

Multi-layer Feature Augmentation Based Transferable Adversarial Examples Generation for Speaker Recognition. - Zhuhai Li; Jie Zhang; Wu Guo (ICIC (4), 2024)

Boosting the Transferability of Adversarial Examples with Gradient-Aligned Ensemble Attack for Speaker Recognition. - Zhuhai Li; Jie Zhang; Wu Guo; Haochen Wu (INTERSPEECH, 2024)

Adapter Learning from Pre-trained Model for Robust Spoof Speech Detection. - Haochen Wu; Wu Guo; Shengyu Peng; Zhuhai Li; Jie Zhang (INTERSPEECH, 2024)

On The Generation and Removal of Speaker Adversarial Perturbation For Voice-Privacy Protection. - Chenyang Guo; Liping Chen; Zhuhai Li; Kong Aik Lee; Zhen-Hua Ling; Wu Guo (SLT, 2024)