Suyang Sun, Weifei Jin, Yuxin Cao, Wei Song, and Jie Hao. 2026. "DUAP: Dual-task Universal Adversarial Perturbations Against Voice Control Systems." To appear in IEEE International Conference on Multimedia & Expo (ICME), 2026.
Weifei Jin, Yuxin Cao, Junjie Su, Minhui Xue, Jie Hao, Ke Xu, Jin Song Dong, and Derui Wang. 2025. "ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio–Language Models." To appear in the Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.
Haolang Lu, Hongrui Peng, Guoshun Nan, Jiaoyang Cui, Cheng Wang, Weifei Jin, Songtao Wang, Shengli Pan, and Xiaofeng Tao. 2025. "MALSIGHT: Exploring Malicious Source Code and Benign Pseudocode for Iterative Binary Malware Summarization." IEEE Transactions on Information Forensics and Security (TIFS), 2025.
Weifei Jin, Junjie Su, Hejia Wang, Yulin Ye, and Jie Hao. 2025. "Boosting the Transferability of Audio Adversarial Examples with Acoustic Representation Optimization." In IEEE International Conference on Multimedia & Expo (ICME), to appear. Nantes, France.
Weifei Jin, Yuxin Cao, Junjie Su, Derui Wang, Yedi Zhang, Minhui Xue, Jie Hao, Jin Song Dong, and Yixian Yang. 2025. "Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems." In 34th USENIX Security Symposium.
Weifei Jin, Yuxin Cao, Junjie Su, Qi Shen, Kai Ye, Derui Wang, Jie Hao, and Ziyao Liu. 2024. "Towards Evaluating the Robustness of Automatic Speech Recognition Systems via Audio Style Transfer." In the 2nd ACM Workshop on Secure and Trustworthy Deep Learning Systems (SecTL, AsiaCCS Workshop), pp. 47–55.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA