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Haonan Duan

PhD student

Email

Papers

  1. Sentence Embedding Encoders are Easy to Steal but Hard to Defend
    Adam Dziedzic, Franziska Boenisch, Haonan Duan, Mingjian Jiang, Nicolas Papernot

    Paper

    @article{adam2023sentenceworkshop,
      author = {Dziedzic, Adam and Boenisch, Franziska and Duan, Haonan and Jiang, Mingjian and Papernot, Nicolas},
      title = {Sentence Embedding Encoders are Easy to Steal but Hard to Defend},
      year = {2023}
    }
    
  2. Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
    Haonan Duan, Adam Dziedzic, Nicolas Papernot, Franziska Boenisch
    In Proceedings of the 37th Conference on Neural Information Processing Systems

    Paper

    @inproceedings{haonan2023flocksconference,
      author = {Duan, Haonan and Dziedzic, Adam and Papernot, Nicolas and Boenisch, Franziska},
      booktitle = {Proceedings of the 37th Conference on Neural Information Processing Systems},
      title = {Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models},
      year = {2023}
    }
    
  3. On the Privacy Risk of In-context Learning
    Haonan Duan, Adam Dziedzic, Mohammad Yaghini, Nicolas Papernot, Franziska Boenisch

    Paper

    @article{haonan2023onworkshop,
      author = {Duan, Haonan and Dziedzic, Adam and Yaghini, Mohammad and Papernot, Nicolas and Boenisch, Franziska},
      title = {On the Privacy Risk of In-context Learning},
      year = {2023}
    }
    
  4. Dataset Inference for Self-Supervised Models
    Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot
    In Proceedings of the 36th Conference on Neural Information Processing Systems

    Paper

    @inproceedings{adam2022datasetconference,
      author = {Dziedzic, Adam and Duan, Haonan and Kaleem, Muhammad Ahmad and Dhawan, Nikita and Guan, Jonas and Cattan, Yannis and Boenisch, Franziska and Papernot, Nicolas},
      booktitle = {Proceedings of the 36th Conference on Neural Information Processing Systems},
      title = {Dataset Inference for Self-Supervised Models},
      year = {2022}
    }