CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks. - Hao Fang 011; Jiawei Kong 001; Bin Chen 011; Tao Dai 001; Hao Wu; Shu-Tao Xia (ECCV (28), 2024)

Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses. - Hao Fang 011; Yixiang Qiu; Hongyao Yu; Wenbo Yu; Jiawei Kong 001; Baoli Chong; Bin Chen 011; Xuan Wang 002; Shu-Tao Xia (CoRR, 2024)

One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models. - Hao Fang 011; Jiawei Kong 001; Wenbo Yu; Bin Chen 011; Jiawei Li 006; Shutao Xia; Ke Xu 002 (CoRR, 2024)

CLIP-Guided Networks for Transferable Targeted Attacks. - Hao Fang 011; Jiawei Kong 001; Bin Chen 011; Tao Dai 001; Hao Wu; Shu-Tao Xia (CoRR, 2024)

Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors. - Hao Fang 011; Jiawei Kong 001; Tianqu Zhuang; Yixiang Qiu; Kuofeng Gao; Bin Chen 011; Shu-Tao Xia; Yaowei Wang 001; Min Zhang 005 (EMNLP, 2025)

One Perturbation is Enough: On Generating Universal Adversarial Perturbations Against Vision-Language Pre-Training Models. - Hao Fang 011; Jiawei Kong 001; Wenbo Yu; Bin Chen 011; Jiawei Li 006; Hao Wu; Shu-Tao Xia; Ke Xu 002 (ICCV, 2025)

Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs. - Hao Fang 011; Changle Zhou; Jiawei Kong 001; Kuofeng Gao; Bin Chen 011; Tao Liang; Guojun Ma; Shu-Tao Xia (NeurIPS, 2025)

Retrievals Can Be Detrimental: A Contrastive Backdoor Attack Paradigm on Retrieval-Augmented Diffusion Models. - Hao Fang 011; Xiaohang Sui; Hongyao Yu; Jiawei Kong 001; Sijin Yu; Bin Chen 011; Hao Wu; Shu-Tao Xia (CoRR, 2025)

Neural Antidote: Class-Wise Prompt Tuning for Purifying Backdoors in Pre-trained Vision-Language Models. - Jiawei Kong 001; Hao Fang 011; Sihang Guo; Chenxi Qing; Bin Chen 011; Bin Wang 034; Shu-Tao Xia (CoRR, 2025)

Wolf Hidden in Sheep's Conversations: Toward Harmless Data-Based Backdoor Attacks for Jailbreaking Large Language Models. - Jiawei Kong 001; Hao Fang 011; Xiaochen Yang; Kuofeng Gao; Bin Chen 011; Shu-Tao Xia; Yaowei Wang 001; Min Zhang 005 (CoRR, 2025)

Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion Models. - Hao Fang 011; Xiaohang Sui; Hongyao Yu; Kuofeng Gao; Jiawei Kong 001; Sijin Yu; Bin Chen 011; Shu-Tao Xia (ACL (1), 2026)

Seeing Through the Chain: Mitigate Hallucination in Multimodal Reasoning Models via CoT Compression and Contrastive Preference Optimization. - Hao Fang 011; Jinyu Li; Jiawei Kong 001; Tianqu Zhuang; Kuofeng Gao; Bin Chen 011; Shu-Tao Xia; Yaowei Wang 001 (CoRR, 2026)

Towards Distillation-Resistant Large Language Models: An Information-Theoretic Perspective. - Hao Fang 011; Tianyi Zhang; Tianqu Zhuang; Jiawei Kong 001; Kuofeng Gao; Bin Chen 011; Leqi Liang; Shu-Tao Xia; Ke Xu 002 (CoRR, 2026)

Looking Back and Forth: Cross-Image Attention Calibration and Attentive Preference Learning for Multi-Image Hallucination Mitigation. - Xiaochen Yang; Hao Fang 011; Jiawei Kong 001; Yaoxin Mao; Bin Chen 011; Shu-Tao Xia (CoRR, 2026)

Reasoning Matters: Mitigate Hallucination in Multimodal Large Reasoning Models via Reasoning-Conditioned Preference Optimization. - Jiawei Kong 001; Hao Fang 011; Shunxiang Liao; Jinyu Li; Bin Chen 011; Hao Wu; Shu-Tao Xia; Min Zhang 005 (CoRR, 2026)