Jiaqi Wang

PhD student

Email

Papers

1. Confidential-DPproof: Confidential Proof of Differentially Private Training
   Ali Shahin Shamsabadi, Gefei Tan, Tudor Ioan Cebere, Aurélien Bellet, Hamed Haddadi, Nicolas Papernot, Xiao Wang, Adrian Weller
   In Proceedings of the 12th International Conference on Learning Representations

   Paper BibTeX

   @inproceedings{ali2024confidentialdpproofspotlight,
     author = {Shamsabadi, Ali Shahin and Tan, Gefei and Cebere, Tudor Ioan and Bellet, Aurélien and Haddadi, Hamed and Papernot, Nicolas and Wang, Xiao and Weller, Adrian},
     booktitle = {Proceedings of the 12th International Conference on Learning Representations},
     title = {Confidential-DPproof: Confidential Proof of Differentially Private Training},
     year = {2024}
   }
   

2. 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}
   }
   

3. Memorization in Self-Supervised Learning Improves Downstream Generalization
   Wenhao Wang, Muhammad Ahmad Kaleem, Adam Dziedzic, Michael Backes, Nicolas Papernot, Franziska Boenisch
   In Proceedings of the 12th International Conference on Learning Representations

   Paper BibTeX

   @inproceedings{wenhao2024memorizationconference,
     author = {Wang, Wenhao and Kaleem, Muhammad Ahmad and Dziedzic, Adam and Backes, Michael and Papernot, Nicolas and Boenisch, Franziska},
     booktitle = {Proceedings of the 12th International Conference on Learning Representations},
     title = {Memorization in Self-Supervised Learning Improves Downstream Generalization},
     year = {2024}
   }
   

4. Private Multi-Winner Voting for Machine Learning
   Adam Dziedzic, Christopher A. Choquette-Choo, Natalie Dullerud, Vinith Menon Suriyakumar, Ali Shahin Shamsabadi, Muhammad Ahmad Kaleem, Somesh Jha, Nicolas Papernot, Xiao Wang
   In Proceedings on Privacy Enhancing Technologies, Lausanne, Switzerland

   BibTeX

   @inproceedings{adam2023privateconference,
     author = {Dziedzic, Adam and Choquette-Choo, Christopher A. and Dullerud, Natalie and Suriyakumar, Vinith Menon and Shamsabadi, Ali Shahin and Kaleem, Muhammad Ahmad and Jha, Somesh and Papernot, Nicolas and Wang, Xiao},
     booktitle = {Proceedings on Privacy Enhancing Technologies, Lausanne, Switzerland},
     title = {Private Multi-Winner Voting for Machine Learning},
     year = {2023}
   }
   

5. Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
   Ali Shahin Shamsabadi, Sierra Calanda Wyllie, Nicholas Franzese, Natalie Dullerud, Sébastien Gambs, Nicolas Papernot, Xiao Wang, Adrian Weller
   In Proceedings of the 11th International Conference on Learning Representations

   Paper BibTeX

   @inproceedings{ali2023confidentialprofittoral,
     author = {Shamsabadi, Ali Shahin and Wyllie, Sierra Calanda and Franzese, Nicholas and Dullerud, Natalie and Gambs, Sébastien and Papernot, Nicolas and Wang, Xiao and Weller, Adrian},
     booktitle = {Proceedings of the 11th International Conference on Learning Representations},
     title = {Confidential-PROFITT: Confidential PROof of FaIr Training of Trees},
     year = {2023}
   }
   

6. Transforming Genomic Interpretability: A DNABERT Case Study
   Micaela Consens, Alan Moses, Bo Wang, Nicolas Papernot
   

   Paper BibTeX

   @article{micaela2023transformingworkshop,
     author = {Consens, Micaela and Moses, Alan and Wang, Bo and Papernot, Nicolas},
     title = {Transforming Genomic Interpretability: A DNABERT Case Study},
     year = {2023}
   }
   

7. Robust and Actively Secure Serverless Collaborative Learning
   Olive Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang
   In Proceedings of the 37th Conference on Neural Information Processing Systems

   Paper BibTeX

   @inproceedings{olive2023robustconference,
     author = {Franzese, Olive and Dziedzic, Adam and Choquette-Choo, Christopher A. and Thomas, Mark R. and Kaleem, Muhammad Ahmad and Rabanser, Stephan and Fang, Congyu and Jha, Somesh and Papernot, Nicolas and Wang, Xiao},
     booktitle = {Proceedings of the 37th Conference on Neural Information Processing Systems},
     title = {Robust and Actively Secure Serverless Collaborative Learning},
     year = {2023}
   }
   

8. In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning
   Jiaqi Wang, Roei Schuster, Ilia Shumailov, David Lie, Nicolas Papernot
   In Proceedings of the 36th Conference on Neural Information Processing Systems

   Paper BibTeX

   @inproceedings{jiaqi2022inconference,
     author = {Wang, Jiaqi and Schuster, Roei and Shumailov, Ilia and Lie, David and Papernot, Nicolas},
     booktitle = {Proceedings of the 36th Conference on Neural Information Processing Systems},
     title = {In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning},
     year = {2022}
   }
   

9. On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples
   Adelin Travers, Lorna Licollari, Guanghan Wang, Varun Chandrasekaran, Adam Dziedzic, David Lie, Nicolas Papernot
   

   Paper BibTeX

   @article{adelin2021onreport,
     author = {Travers, Adelin and Licollari, Lorna and Wang, Guanghan and Chandrasekaran, Varun and Dziedzic, Adam and Lie, David and Papernot, Nicolas},
     title = {On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples},
     year = {2021}
   }
   

10. 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}
    }