Hao Fang

Affiliations:

Tsinghua University, Shenzhen International Graduate School, China

According to our database¹, Hao Fang authored at least 22 papers between 2023 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2025

ICAS: Detecting Training Data from Autoregressive Image Generative Models.

[BibT_eX]

[DOI]

CoRR, July, 2025

Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs.

[BibT_eX]

[DOI]

CoRR, May, 2025

Wolf Hidden in Sheep's Conversations: Toward Harmless Data-Based Backdoor Attacks for Jailbreaking Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors.

[BibT_eX]

[DOI]

CoRR, May, 2025

Neural Antidote: Class-Wise Prompt Tuning for Purifying Backdoors in Pre-trained Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

Retrievals Can Be Detrimental: A Contrastive Backdoor Attack Paradigm on Retrieval-Augmented Diffusion Models.

[BibT_eX]

[DOI]

CoRR, January, 2025

Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RobNAS: Robust Neural Architecture Search for Point Cloud Adversarial Defense.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

CALoR: Towards Comprehensive Model Inversion Defense.

[BibT_eX]

[DOI]

CoRR, 2024

MIBench: A Comprehensive Benchmark for Model Inversion Attack and Defense.

[BibT_eX]

[DOI]

CoRR, 2024

CLIP-Guided Networks for Transferable Targeted Attacks.

[BibT_eX]

[DOI]

CoRR, 2024

Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation.

[BibT_eX]

[DOI]

CoRR, 2024

One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models.

[BibT_eX]

[DOI]

CoRR, 2024

GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2024

Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses.

[BibT_eX]

[DOI]

CoRR, 2024

FedSMW: Server-Side Model Watermark Framework for Model Ownership Verification in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Wireless Communications and Signal Processing, 2024

WaterDiff: Perceptual Image Watermarks Via Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hao Fang

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