An Input-Aware Mimic Defense Theory and its Practice. - Jiale Fu; Yali Yuan; Jiajun He; Sichu Liang; Zhe Huang; Hongyu Zhu 004 (CoRR, 2022)

Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule. - Hongyu Zhu 004; Sichu Liang; Wentao Hu; Fang-Qi Li 001; Yali Yuan; Shi-Lin Wang; Guang Cheng 001 (CoRR, 2023)

Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedules. - Hongyu Zhu 004; Sichu Liang; Wentao Hu; Fang-Qi Li 001; Yali Yuan; Shi-Lin Wang; Guang Cheng 001 (ICASSP, 2024)

Reliable Model Watermarking: Defending against Theft without Compromising on Evasion. - Hongyu Zhu 004; Sichu Liang; Wentao Hu; Fangqi Li 001; Ju Jia; Shi-Lin Wang (ACM Multimedia, 2024)

Efficient and Effective Model Extraction. - Hongyu Zhu 004; Wentao Hu; Sichu Liang; Fangqi Li 001; Wenwen Wang; Shilin Wang (CoRR, 2024)

Efficient and Effective Model Extraction. - Hongyu Zhu 004; Wentao Hu; Sichu Liang; Fangqi Li; Wenwen Wang; Shilin Wang (ICASSP, 2025)

RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering. - Sichu Liang; Linhai Zhang; Hongyu Zhu; Wenwen Wang; Yulan He 001; Deyu Zhou (CoRR, 2025)

Revisiting Data Auditing in Large Vision-Language Models. - Hongyu Zhu 004; Sichu Liang; Wenwen Wang; Boheng Li; Tongxin Yuan; Fangqi Li; Shi-Lin Wang; Zhuosheng Zhang 001 (CoRR, 2025)

Evading Data Provenance in Deep Neural Networks. - Hongyu Zhu; Sichu Liang; Wenwen Wang; Zhuomeng Zhang; Fangqi Li; Shi-Lin Wang (CoRR, 2025)