Adelin Travers

PhD student

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Research Interests

Offensive Security Audit Forensics Finance Biometrics Robustness Safety Automatic Differentiation

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. Interpretability in Safety-Critical Financial Trading Systems
   Gabriel Deza, Adelin Travers, Colin Rowat, Nicolas Papernot
   

   Paper BibTeX

   @article{gabriel2021interpretability,
     author = {Deza, Gabriel and Travers, Adelin and Rowat, Colin and Papernot, Nicolas},
     title = {Interpretability in Safety-Critical Financial Trading Systems},
     year = {2021}
   }
   

3. 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}
   }
   

4. 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}
   }