Jonas Guan

PhD student

Email

Papers

1. Temporal-Difference Learning Using Distributed Error Signals
   Jonas Guan, Shon Eduard Verch, Claas A Voelcker, Ethan C Jackson, Nicolas Papernot, William A Cunningham
   In Proceedings of the 38th Conference on Neural Information Processing Systems

   BibTeX

   @inproceedings{jonas2024temporaldifferenceconference,
     author = {Guan, Jonas and Verch, Shon Eduard and Voelcker, Claas A and Jackson, Ethan C and Papernot, Nicolas and Cunningham, William A},
     booktitle = {Proceedings of the 38th Conference on Neural Information Processing Systems},
     title = {Temporal-Difference Learning Using Distributed Error Signals},
     year = {2024}
   }
   

2. 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 BibTeX

   @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}
   }
   

3. On the Difficulty of Defending Self-Supervised Learning against Model Extraction
   Adam Dziedzic, Nikita Dhawan, Muhammad Ahmad Kaleem, Jonas Guan, Nicolas Papernot
   In Proceedings of the 39th International Conference on Machine Learning

   Paper BibTeX

   @inproceedings{adam2022onconference,
     author = {Dziedzic, Adam and Dhawan, Nikita and Kaleem, Muhammad Ahmad and Guan, Jonas and Papernot, Nicolas},
     booktitle = {Proceedings of the 39th International Conference on Machine Learning},
     title = {On the Difficulty of Defending Self-Supervised Learning against Model Extraction},
     year = {2022}
   }
   

4. 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}
   }
   

5. 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}
   }