Natalie Dullerud

MS student

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Research Interests

Forms of Bias Fairness Verification ML in Healthcare DP Theory Metric Learning Adversarial Robustness Empathy in RL

Papers

1. 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{christopher2021capc,
     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}
   }
   

2. Proof-of-Learning: Definitions and Practice
   Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot
   In Proceedings of the 42nd IEEE Symposium on Security and Privacy, San Francisco, CA

   Paper BibTeX

   @inproceedings{hengrui2021proofoflearning,
     author = {Jia, Hengrui and Yaghini, Mohammad and Choquette-Choo, Christopher A. and Dullerud, Natalie and Thudi, Anvith and Chandrasekaran, Varun and Papernot, Nicolas},
     booktitle = {Proceedings of the 42nd IEEE Symposium on Security and Privacy, San Francisco, CA},
     title = {Proof-of-Learning: Definitions and Practice},
     year = {2021}
   }