Hao Fang

35 papers A* 6Misc 2Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A temporal-aware generative network for cross-modal video universal adversarial perturbation generation.
Knowl. Based Syst.
Kai-Wen Zhang, Shuo-Yang Sun, Hao Fang, Chang-Le Zhou, Bin Chen, Shu-Tao Xia
2026 J jnl
Looking Back and Forth: Cross-Image Attention Calibration and Attentive Preference Learning for Multi-Image Hallucination Mitigation.
CoRR
Xiaochen Yang, Hao Fang, Jiawei Kong, Yaoxin Mao, Bin Chen, Shu-Tao Xia
2026 — conf
Rank Matters: Understanding and Defending Model Inversion Attacks via Low-Rank Feature Filtering.
KDD (1)
Hongyao Yu, Yixiang Qiu, Hao Fang, Tianqu Zhuang, Bin Chen, Sijin Yu, Bin Wang, Shu-Tao Xia, Ke Xu
2026 J jnl
Seeing Through the Chain: Mitigate Hallucination in Multimodal Reasoning Models via CoT Compression and Contrastive Preference Optimization.
CoRR
Hao Fang, Jinyu Li, Jiawei Kong, Tianqu Zhuang, Kuofeng Gao, Bin Chen, Shu-Tao Xia, Yaowei Wang
2026 J jnl
Towards Distillation-Resistant Large Language Models: An Information-Theoretic Perspective.
CoRR
Hao Fang, Tianyi Zhang, Tianqu Zhuang, Jiawei Kong, Kuofeng Gao, Bin Chen, Leqi Liang, Shu-Tao Xia, Ke Xu
2025 J jnl
GI-NAS: Boosting Gradient Inversion Attacks Through Adaptive Neural Architecture Search.
IEEE Trans. Inf. Forensics Secur.
Wenbo Yu, Hao Fang, Bin Chen, Xiaohang Sui, Chuan Chen, Hao Wu, Shu-Tao Xia, Ke Xu
2025 J jnl
GaussTrap: Stealthy Poisoning Attacks on 3D Gaussian Splatting for Targeted Scene Confusion.
CoRR
Jiaxin Hong, Sixu Chen, Shuoyang Sun, Hongyao Yu, Hao Fang, Yuqi Tan, Bin Chen, Shuhan Qi, Jiawei Li
2025 A* conf
Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information.
ICLR
Xinhao Zhong, Bin Chen, Hao Fang, Xulin Gu, Shu-Tao Xia, En-Hui Yang
2025 J jnl
Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs.
CoRR
Hao Fang, Changle Zhou, Jiawei Kong, Kuofeng Gao, Bin Chen, Tao Liang, Guojun Ma, Shu-Tao Xia
2025 A* conf
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation.
CVPR
Xinhao Zhong, Hao Fang, Bin Chen, Xulin Gu, Meikang Qiu, Shuhan Qi, Shu-Tao Xia
2025 A* conf
ICAS: Detecting Training Data from Autoregressive Image Generative Models.
ACM Multimedia
Hongyao Yu, Yixiang Qiu, Yiheng Yang, Hao Fang, Tianqu Zhuang, Jiaxin Hong, Bin Chen, Hao Wu, Shu-Tao Xia
2025 J jnl
ICAS: Detecting Training Data from Autoregressive Image Generative Models.
CoRR
Hongyao Yu, Yixiang Qiu, Yiheng Yang, Hao Fang, Tianqu Zhuang, Jiaxin Hong, Bin Chen, Hao Wu, Shu-Tao Xia
2025 J jnl
Neural Antidote: Class-Wise Prompt Tuning for Purifying Backdoors in Pre-trained Vision-Language Models.
CoRR
Jiawei Kong, Hao Fang, Sihang Guo, Chenxi Qing, Bin Chen, Bin Wang, Shu-Tao Xia
2025 J jnl
Retrievals Can Be Detrimental: A Contrastive Backdoor Attack Paradigm on Retrieval-Augmented Diffusion Models.
CoRR
Hao Fang, Xiaohang Sui, Hongyao Yu, Jiawei Kong, Sijin Yu, Bin Chen, Hao Wu, Shu-Tao Xia
2025 J jnl
Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization.
CoRR
Yixiang Qiu, Yanhan Liu, Hongyao Yu, Hao Fang, Bin Chen, Shu-Tao Xia, Ke Xu
2025 Misc conf
RobNAS: Robust Neural Architecture Search for Point Cloud Adversarial Defense.
ICASSP
Shuoyang Sun, Kaiwen Zhang, Hao Fang, Bin Chen, Jiawei Li, Enze Huo, Shu-Tao Xia
2025 A* conf
Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks.
ICLR
Tianqu Zhuang, Hongyao Yu, Yixiang Qiu, Hao Fang, Bin Chen, Shu-Tao Xia
2025 J jnl
Wolf Hidden in Sheep's Conversations: Toward Harmless Data-Based Backdoor Attacks for Jailbreaking Large Language Models.
CoRR
Jiawei Kong, Hao Fang, Xiaochen Yang, Kuofeng Gao, Bin Chen, Shu-Tao Xia, Yaowei Wang, Min Zhang
2025 A* conf
Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors.
EMNLP
Hao Fang, Jiawei Kong, Tianqu Zhuang, Yixiang Qiu, Kuofeng Gao, Bin Chen, Shu-Tao Xia, Yaowei Wang, Min Zhang
2025 J jnl
Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors.
CoRR
Hao Fang, Jiawei Kong, Tianqu Zhuang, Yixiang Qiu, Kuofeng Gao, Bin Chen, Shu-Tao Xia, Yaowei Wang, Min Zhang
2024 — conf
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks.
ECCV (32)
Yixiang Qiu, Hao Fang, Hongyao Yu, Bin Chen, Mei Kang Qiu, Shu-Tao Xia
2024 J jnl
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks.
CoRR
Yixiang Qiu, Hao Fang, Hongyao Yu, Bin Chen, Meikang Qiu, Shu-Tao Xia
2024 J jnl
CALoR: Towards Comprehensive Model Inversion Defense.
CoRR
Hongyao Yu, Yixiang Qiu, Hao Fang, Bin Chen, Sijin Yu, Bin Wang, Shu-Tao Xia, Ke Xu
2024 — conf
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks.
ECCV (28)
Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia
2024 J jnl
CLIP-Guided Networks for Transferable Targeted Attacks.
CoRR
Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia
2024 — conf
FedSMW: Server-Side Model Watermark Framework for Model Ownership Verification in Federated Learning.
WCSP
Yang Cao, Hao Fang, Bin Chen, Xuan Wang, Shutao Xia
2024 J jnl
GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural Architecture Search.
CoRR
Wenbo Yu, Hao Fang, Bin Chen, Xiaohang Sui, Chuan Chen, Hao Wu, Shu-Tao Xia, Ke Xu
2024 J jnl
Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information.
CoRR
Xinhao Zhong, Bin Chen, Hao Fang, Xulin Gu, Shu-Tao Xia, En-Hui Yang
2024 J jnl
Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation.
CoRR
Xinhao Zhong, Hao Fang, Bin Chen, Xulin Gu, Tao Dai, Meikang Qiu, Shu-Tao Xia
2024 J jnl
MIBench: A Comprehensive Benchmark for Model Inversion Attack and Defense.
CoRR
Yixiang Qiu, Hongyao Yu, Hao Fang, Wenbo Yu, Bin Chen, Xuan Wang, Shu-Tao Xia, Ke Xu
2024 J jnl
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models.
CoRR
Hao Fang, Jiawei Kong, Wenbo Yu, Bin Chen, Jiawei Li, Shutao Xia, Ke Xu
2024 J jnl
Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses.
CoRR
Hao Fang, Yixiang Qiu, Hongyao Yu, Wenbo Yu, Jiawei Kong, Baoli Chong, Bin Chen, Xuan Wang, Shu-Tao Xia
2024 Misc conf
WaterDiff: Perceptual Image Watermarks Via Diffusion Model.
ICASSP
Yuqi Tan, Yuang Peng, Hao Fang, Bin Chen, Shu-Tao Xia
2023 A* conf
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization.
ICCV
Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia
2023 J jnl
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization.
CoRR
Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia