Shen, Bingquan

6 publications

ICLR 2026 Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning Yiwei Chen, Yuguang Yao, Yihua Zhang, Bingquan Shen, Gaowen Liu, Sijia Liu

NeurIPS 2025 Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning Zhifang Zhang, Shuo He, Haobo Wang, Bingquan Shen, Lei Feng

ICLR 2024 Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu

NeurIPS 2024 From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models Zhuoshi Pan, Yuguang Yao, Gaowen Liu, Bingquan Shen, H. Vicky Zhao, Ramana Rao Kompella, Sijia Liu

ICCV 2023 Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning Xiaobao Guo, Nithish Muthuchamy Selvaraj, Zitong Yu, Adams Wai-Kin Kong, Bingquan Shen, Alex Kot

NeurIPSW 2023 From Trojan Horses to Castle Walls: Unveiling Bilateral Backdoor Effects in Diffusion Models Zhuoshi Pan, Yuguang Yao, Gaowen Liu, Bingquan Shen, H. Vicky Zhao, Ramana Rao Kompella, Sijia Liu