GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization. - Hao Fang 011; Bin Chen 011; Xuan Wang 002; Zhi Wang 001; Shu-Tao Xia (ICCV, 2023)

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

A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks. - Yixiang Qiu; Hao Fang 011; Hongyao Yu; Bin Chen 011; Mei Kang Qiu; Shu-Tao Xia (ECCV (32), 2024)

WaterDiff: Perceptual Image Watermarks Via Diffusion Model. - Yuqi Tan; Yuang Peng; Hao Fang 011; Bin Chen 011; Shu-Tao Xia (ICASSP, 2024)

FedSMW: Server-Side Model Watermark Framework for Model Ownership Verification in Federated Learning. - Yang Cao; Hao Fang 011; Bin Chen 011; Xuan Wang 002; Shutao Xia (WCSP, 2024)

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

GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural Architecture Search. - Wenbo Yu; Hao Fang 011; Bin Chen 011; Xiaohang Sui; Chuan Chen; Hao Wu; Shu-Tao Xia; Ke Xu (CoRR, 2024)

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

Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation. - Xinhao Zhong; Hao Fang 011; Bin Chen 011; Xulin Gu; Tao Dai 001; Meikang Qiu; Shu-Tao Xia (CoRR, 2024)

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

MIBench: A Comprehensive Benchmark for Model Inversion Attack and Defense. - Yixiang Qiu; Hongyao Yu; Hao Fang 011; Wenbo Yu; Bin Chen 011; Xuan Wang 002; Shu-Tao Xia; Ke Xu (CoRR, 2024)

CALoR: Towards Comprehensive Model Inversion Defense. - Hongyao Yu; Yixiang Qiu; Hao Fang 011; Bin Chen 011; Sijin Yu; Bin Wang 034; Shu-Tao Xia; Ke Xu (CoRR, 2024)

Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation. - Xinhao Zhong; Hao Fang 011; Bin Chen 011; Xulin Gu; Meikang Qiu; Shuhan Qi; Shu-Tao Xia (CVPR, 2025)

RobNAS: Robust Neural Architecture Search for Point Cloud Adversarial Defense. - Shuoyang Sun; Kaiwen Zhang; Hao Fang 011; Bin Chen 011; Jiawei Li 006; Enze Huo; Shu-Tao Xia (ICASSP, 2025)

Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information. - Xinhao Zhong; Bin Chen 011; Hao Fang 011; Xulin Gu; Shu-Tao Xia; En-Hui Yang (ICLR, 2025)

Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks. - Tianqu Zhuang; Hongyao Yu; Yixiang Qiu; Hao Fang 011; Bin Chen 011; Shu-Tao Xia (ICLR, 2025)

Retrievals Can Be Detrimental: A Contrastive Backdoor Attack Paradigm on Retrieval-Augmented Diffusion Models. - Hao Fang 011; Xiaohang Sui; Hongyao Yu; Jiawei Kong; 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; Hao Fang 011; Sihang Guo; Chenxi Qing; Bin Chen 011; Bin Wang 034; Shu-Tao Xia (CoRR, 2025)

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

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

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

ICAS: Detecting Training Data from Autoregressive Image Generative Models. - Hongyao Yu; Yixiang Qiu; Yiheng Yang; Hao Fang 011; Tianqu Zhuang; Jiaxin Hong; Bin Chen 011; Hao Wu; Shu-Tao Xia (CoRR, 2025)