Angela Sha

MSc student

Email

Papers

1. Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
   Stephan Rabanser, Ali Shahin Shamsabadi, Olive Franzese, Xiao Wang, Adrian Weller, Nicolas Papernot
   In Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada

   BibTeX

   @inproceedings{stephan2025confidentialconference,
     author = {Rabanser, Stephan and Shamsabadi, Ali Shahin and Franzese, Olive and Wang, Xiao and Weller, Adrian and Papernot, Nicolas},
     booktitle = {Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada},
     title = {Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention},
     year = {2025}
   }
   

2. 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}
   }
   

3. Beyond Labeling Oracles: What does it mean to steal ML models?
   Avital Shafran, Ilia Shumailov, Murat A. Erdogdu, Nicolas Papernot
   

   Paper BibTeX

   @article{avital2024beyondjournal,
     author = {Shafran, Avital and Shumailov, Ilia and Erdogdu, Murat A. and Papernot, Nicolas},
     title = {Beyond Labeling Oracles: What does it mean to steal ML models?},
     year = {2024}
   }
   

4. Finding Private Bugs: Debugging Implementations of Differentially Private Stochastic Gradient Descent
   Congyu Fang, Hengrui Jia, Ali Shahin Shamsabadi, Nicolas Papernot
   

   BibTeX

   @article{congyu2024findingpreprint,
     author = {Fang, Congyu and Jia, Hengrui and Shamsabadi, Ali Shahin and Papernot, Nicolas},
     title = {Finding Private Bugs: Debugging Implementations of Differentially Private Stochastic Gradient Descent},
     year = {2024}
   }
   

5. 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}
   }
   

6. 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}
   }
   

7. Differentially Private Speaker Anonymization
   Ali Shahin Shamsabadi, Brij Mohan Lal Srivastava, Aurelien Bellet, Nathalie Vauquier, Emmanuel Vincent, Mohamed Maouche, Marc Tommasi, Nicolas Papernot
   In Proceedings on Privacy Enhancing Technologies, Lausanne, Switzerland

   Paper BibTeX

   @inproceedings{ali2023differentiallyconference,
     author = {Shamsabadi, Ali Shahin and Srivastava, Brij Mohan Lal and Bellet, Aurelien and Vauquier, Nathalie and Vincent, Emmanuel and Maouche, Mohamed and Tommasi, Marc and Papernot, Nicolas},
     booktitle = {Proceedings on Privacy Enhancing Technologies, Lausanne, Switzerland},
     title = {Differentially Private Speaker Anonymization},
     year = {2023}
   }
   

8. Losing Less: A Loss for Differentially Private Deep Learning
   Ali Shahin Shamsabadi, Nicolas Papernot
   In Proceedings on Privacy Enhancing Technologies, Lausanne, Switzerland

   BibTeX

   @inproceedings{ali2023losingconference,
     author = {Shamsabadi, Ali Shahin and Papernot, Nicolas},
     booktitle = {Proceedings on Privacy Enhancing Technologies, Lausanne, Switzerland},
     title = {Losing Less: A Loss for Differentially Private Deep Learning},
     year = {2023}
   }
   

9. Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation
   Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, Nicolas Papernot
   In Proceedings of the 8th IEEE European Symposium on Security and Privacy, Delft, Netherlands

   Paper BibTeX

   @inproceedings{franziska2023reconstructingconference,
     author = {Boenisch, Franziska and Dziedzic, Adam and Schuster, Roei and Shamsabadi, Ali Shahin and Shumailov, Ilia and Papernot, Nicolas},
     booktitle = {Proceedings of the 8th IEEE European Symposium on Security and Privacy, Delft, Netherlands},
     title = {Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation},
     year = {2023}
   }
   

10. When the Curious Abandon Honesty: Federated Learning Is Not Private
    Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, Nicolas Papernot
    In Proceedings of the 8th IEEE European Symposium on Security and Privacy, Delft, Netherlands

    Paper BibTeX

    @inproceedings{franziska2023whenconference,
      author = {Boenisch, Franziska and Dziedzic, Adam and Schuster, Roei and Shamsabadi, Ali Shahin and Shumailov, Ilia and Papernot, Nicolas},
      booktitle = {Proceedings of the 8th IEEE European Symposium on Security and Privacy, Delft, Netherlands},
      title = {When the Curious Abandon Honesty: Federated Learning Is Not Private},
      year = {2023}
    }
    

11. Tubes Among Us: Analog Attack on Automatic Speaker Identification
    Shimaa Ahmed, Yash Wani, Ali Shahin Shamsabadi, Mohammad Yaghini, Ilia Shumailov, Nicolas Papernot, Kassem Fawaz
    In Proceedings of the 32nd USENIX Security Symposium

    Paper BibTeX

    @inproceedings{shimaa2023tubesconference,
      author = {Ahmed, Shimaa and Wani, Yash and Shamsabadi, Ali Shahin and Yaghini, Mohammad and Shumailov, Ilia and Papernot, Nicolas and Fawaz, Kassem},
      booktitle = {Proceedings of the 32nd USENIX Security Symposium},
      title = {Tubes Among Us: Analog Attack on Automatic Speaker Identification},
      year = {2023}
    }
    

12. Washing The Unwashable: On The (Im)possibility of Fairwashing Detection
    Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Wyllie, Ulrich Aïvodji, Aisha Alaagib Alryeh Mkean, Sébastien Gambs, Nicolas Papernot
    In Proceedings of the 36th Conference on Neural Information Processing Systems

    Paper BibTeX

    @inproceedings{ali2022washingconference,
      author = {Shamsabadi, Ali Shahin and Yaghini, Mohammad and Dullerud, Natalie and Wyllie, Sierra and Aïvodji, Ulrich and Mkean, Aisha Alaagib Alryeh and Gambs, Sébastien and Papernot, Nicolas},
      booktitle = {Proceedings of the 36th Conference on Neural Information Processing Systems},
      title = {Washing The Unwashable: On The (Im)possibility of Fairwashing Detection},
      year = {2022}
    }
    

13. A Zest of LIME: Towards Architecture-Independent Model Distances
    Hengrui Jia, Hongyu Chen, Jonas Guan, Ali Shahin Shamsabadi, Nicolas Papernot
    In Proceedings of the 10th International Conference on Learning Representations

    Paper BibTeX

    @inproceedings{hengrui2022aconference,
      author = {Jia, Hengrui and Chen, Hongyu and Guan, Jonas and Shamsabadi, Ali Shahin and Papernot, Nicolas},
      booktitle = {Proceedings of the 10th International Conference on Learning Representations},
      title = {A Zest of LIME: Towards Architecture-Independent Model Distances},
      year = {2022}
    }