Varun Chandrasekaran

Visiting PhD student

Website

Papers

1. 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{adelin2021on,
     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}
   }
   

2. Unrolling SGD: Understanding Factors Influencing Machine Unlearning
   Anvith Thudi, Gabriel Deza, Varun Chandrasekaran, Nicolas Papernot
   

   Paper BibTeX

   @article{anvith2021unrolling,
     author = {Thudi, Anvith and Deza, Gabriel and Chandrasekaran, Varun and Papernot, Nicolas},
     title = {Unrolling SGD: Understanding Factors Influencing Machine Unlearning},
     year = {2021}
   }
   

3. Entangled Watermarks as a Defense against Model Extraction
   Hengrui Jia, Christopher A. Choquette-Choo, Varun Chandrasekaran, Nicolas Papernot
   In Proceedings of the 30th USENIX Security Symposium

   Paper BibTeX

   @inproceedings{hengrui2021entangled,
     author = {Jia, Hengrui and Choquette-Choo, Christopher A. and Chandrasekaran, Varun and Papernot, Nicolas},
     booktitle = {Proceedings of the 30th USENIX Security Symposium},
     title = {Entangled Watermarks as a Defense against Model Extraction},
     year = {2021}
   }
   

4. 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}
   }
   

5. Machine Unlearning
   Lucas Bourtoule, Varun Chandrasekaran, Christopher 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{lucas2021machine,
     author = {Bourtoule, Lucas and Chandrasekaran, Varun and Choquette-Choo, Christopher 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. SoK: Machine Learning Governance
   Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot
   

   Paper BibTeX

   @article{varun2021sok,
     author = {Chandrasekaran, Varun and Jia, Hengrui and Thudi, Anvith and Travers, Adelin and Yaghini, Mohammad and Papernot, Nicolas},
     title = {SoK: Machine Learning Governance},
     year = {2021}
   }
   

7. On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
   Sanghyun Hong, Varun Chandrasekaran, Yigitcan Kaya, Tudor Dumitras, Nicolas Papernot
   

   Paper BibTeX

   @article{sanghyun2020on,
     author = {Hong, Sanghyun and Chandrasekaran, Varun and Kaya, Yigitcan and Dumitras, Tudor and Papernot, Nicolas},
     title = {On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping},
     year = {2020}
   }
   

8. Rearchitecting Classification Frameworks For Increased Robustness
   Varun Chandrasekaran, Brian Tang, Nicolas Papernot, Kassem Fawaz, Somesh Jha, Xi Wu
   

   Paper BibTeX

   @article{varun2019rearchitecting,
     author = {Chandrasekaran, Varun and Tang, Brian and Papernot, Nicolas and Fawaz, Kassem and Jha, Somesh and Wu, Xi},
     title = {Rearchitecting Classification Frameworks For Increased Robustness},
     year = {2019}
   }