ffhibnese (FFHow) · GitHub
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ffhibnese/README.md
  • 👋 Hi, I’m @FFHow
  • 👀 I’m interested in Trustworthy AI, Large Language models, and Visual Generative models.
  • 🌱 I’m currently studying at SIGS, Tsinghua University, majoring in computer science and technology.
  • 📫 Welcome Contact me at fangh25@mails.tsinghua.edu.cn
  • ✨ My homepage

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  1. Model-Inversion-Attack-ToolBox Model-Inversion-Attack-ToolBox Public

    A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.

    Python 197 16

  2. GIFD_Gradient_Inversion_Attack GIFD_Gradient_Inversion_Attack Public

    [ICCV-2023] Gradient inversion attack, Federated learning, Generative adversarial network.

    Python 52 3

  3. CGNC_Targeted_Adversarial_Attacks CGNC_Targeted_Adversarial_Attacks Public

    [ECCV-2024] Transferable Targeted Adversarial Attack, CLIP models, Generative adversarial network, Multi-target attacks

    Python 39 1

  4. CPGC_VLP_Universal_Attacks CPGC_VLP_Universal_Attacks Public

    [ICCV-2025] Universal Adversarial Attack, Multimodal Adversarial Attacks, VLP models, Contrastive Learning, Cross-modal Perturbation Generator, Generative Attacks.

    Python 36 4

  5. CoPA_Contrastive_Paraphrase_Attacks CoPA_Contrastive_Paraphrase_Attacks Public

    [EMNLP-2025] Paraphrasing Attacks, LLM-Generated Text Detectors, Training-free Decoding Strategy

    Python 13 2

  6. CMI_VLD_Hallucination_Mitigation CMI_VLD_Hallucination_Mitigation Public

    [NeurIPS-2025] Large Vision-Language Models, Hallucination Mitigation, Conditional Mutual Information, Token Purification

    Python 9