Arielle Zhang

PhD student

Email

Papers

1. Fast Exact Unlearning of Fine-Tuning Data for LLMs
   Andrei Ioan Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas Papernot
   In Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada

   BibTeX

   @inproceedings{andrei2025fastconference,
     author = {Muresanu, Andrei Ioan and Thudi, Anvith and Zhang, Michael R. and Papernot, Nicolas},
     booktitle = {Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada},
     title = {Fast Exact Unlearning of Fine-Tuning Data for LLMs},
     year = {2025}
   }
   

2. Unlearnable Algorithms for In-context Learning
   Andrei Ioan Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas Papernot
   

   Paper BibTeX

   @article{andrei2024unlearnablepreprint,
     author = {Muresanu, Andrei Ioan and Thudi, Anvith and Zhang, Michael R. and Papernot, Nicolas},
     title = {Unlearnable Algorithms for In-context Learning},
     year = {2024}
   }
   

3. Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data
   Congyu Fang, Adam Dziedzic, Lin Zhang, Laura Oliva, Amol Verma, Fahad Razak, Nicolas Papernot, Bo Wang
   

   Paper BibTeX

   @article{congyu2024decentralisedjournal,
     author = {Fang, Congyu and Dziedzic, Adam and Zhang, Lin and Oliva, Laura and Verma, Amol and Razak, Fahad and Papernot, Nicolas and Wang, Bo},
     title = {Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data},
     year = {2024}
   }
   

4. CaPC Learning: Confidential and Private Collaborative Learning
   Christopher A. Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yunxiang Zhang, Somesh Jha, Nicolas Papernot, Xiao Wang
   In Proceedings of the 9th International Conference on Learning Representations

   Paper BibTeX

   @inproceedings{christopher2021capcconference,
     author = {Choquette-Choo, Christopher A. and Dullerud, Natalie and Dziedzic, Adam and Zhang, Yunxiang and Jha, Somesh and Papernot, Nicolas and Wang, Xiao},
     booktitle = {Proceedings of the 9th International Conference on Learning Representations},
     title = {CaPC Learning: Confidential and Private Collaborative Learning},
     year = {2021}
   }
   

5. Machine Unlearning
   Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot
   In Proceedings of the 42nd IEEE Symposium on Security and Privacy, San Francisco, CA

   Paper BibTeX

   @inproceedings{lucas2021machineconference,
     author = {Bourtoule, Lucas and Chandrasekaran, Varun and Choquette-Choo, Christopher A. and Jia, Hengrui and Travers, Adelin and Zhang, Baiwu and Lie, David and Papernot, Nicolas},
     booktitle = {Proceedings of the 42nd IEEE Symposium on Security and Privacy, San Francisco, CA},
     title = {Machine Unlearning},
     year = {2021}
   }
   

6. On Attribution of Deepfakes
   Baiwu Zhang, Jin Zhou, Ilia Shumailov, Nicolas Papernot
   

   Paper BibTeX

   @article{baiwu2020onreport,
     author = {Zhang, Baiwu and Zhou, Jin and Shumailov, Ilia and Papernot, Nicolas},
     title = {On Attribution of Deepfakes},
     year = {2020}
   }
   

7. On the Robustness of Cooperative Multi-Agent Reinforcement Learning
   Jieyu Lin, Kristina Dzeparoska, Sai Qian Zhang, Alberto Leon-Garcia, Nicolas Papernot
   

   Paper BibTeX

   @article{jieyu2020onworkshop,
     author = {Lin, Jieyu and Dzeparoska, Kristina and Zhang, Sai Qian and Leon-Garcia, Alberto and Papernot, Nicolas},
     title = {On the Robustness of Cooperative Multi-Agent Reinforcement Learning},
     year = {2020}
   }