Hao Fang
Orcid: 0009-0004-0271-6579Affiliations:
- Tsinghua University, Shenzhen International Graduate School, China
According to our database1,
Hao Fang authored at least 36 papers
between 2023 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Reasoning Matters: Mitigate Hallucination in Multimodal Large Reasoning Models via Reasoning-Conditioned Preference Optimization.
CoRR, May, 2026
CoRR, May, 2026
CoRR, May, 2026
Enhancing Gradient Inversion Attacks in Federated Learning via Hierarchical Feature Optimization.
CoRR, April, 2026
Looking Back and Forth: Cross-Image Attention Calibration and Attentive Preference Learning for Multi-Image Hallucination Mitigation.
CoRR, March, 2026
Towards Distillation-Resistant Large Language Models: An Information-Theoretic Perspective.
CoRR, February, 2026
Seeing Through the Chain: Mitigate Hallucination in Multimodal Reasoning Models via CoT Compression and Contrastive Preference Optimization.
CoRR, February, 2026
A temporal-aware generative network for cross-modal video universal adversarial perturbation generation.
Knowl. Based Syst., 2026
Rank Matters: Understanding and Defending Model Inversion Attacks via Low-Rank Feature Filtering.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026
When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
2025
Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization.
CoRR, August, 2025
Wolf Hidden in Sheep's Conversations: Toward Harmless Data-Based Backdoor Attacks for Jailbreaking Large Language Models.
CoRR, May, 2025
GaussTrap: Stealthy Poisoning Attacks on 3D Gaussian Splatting for Targeted Scene Confusion.
CoRR, April, 2025
Neural Antidote: Class-Wise Prompt Tuning for Purifying Backdoors in Pre-trained Vision-Language Models.
CoRR, February, 2025
Retrievals Can Be Detrimental: A Contrastive Backdoor Attack Paradigm on Retrieval-Augmented Diffusion Models.
CoRR, January, 2025
GI-NAS: Boosting Gradient Inversion Attacks Through Adaptive Neural Architecture Search.
IEEE Trans. Inf. Forensics Secur., 2025
Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
One Perturbation is Enough: On Generating Universal Adversarial Perturbations Against Vision-Language Pre-Training Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
CoRR, 2024
Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation.
CoRR, 2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models.
CoRR, 2024
CoRR, 2024
FedSMW: Server-Side Model Watermark Framework for Model Ownership Verification in Federated Learning.
Proceedings of the 16th International Conference on Wireless Communications and Signal Processing, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023