I am a Ph.D. student advised by Urs Hengartner. My research interests lie at the intersection of Machine Learning and Computer Security. Our lab is the Cryptography, Security, and Privacy (CrySP) Lab at the University of Waterloo.

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News

  • [April 2023]: Our paper was accepted at IEEE S&P 2023.

Publications

Adversary Faces Adversarial: Mitigating Adversarial Examples via Deep Adversarial Distillation.

  • In Submission.
  • Andre Kassis and Urs Hengartner

 

Breaking Security-Critical Voice Authentication.

  • 44th IEEE Symposium on Security and Privacy, 2023.
  • Andre Kassis and Urs Hengartner

 

Estimating client QoE from measured network QoS.

  • Proceedings of the 12th ACM International Conference on Systems and Storage, 2019.
  • Kenneth Nagin, Andre Kassis, Dean Lorenz, Katherine Barabash, Eran Raichstein
  • Paper

 

Deep ahead-of-threat virtual patching.

  • Information and Operational Technology Security Systems: First International Workshop, IOSec 2018, CIPSEC Project.
  • Fady Copty, Andre Kassis, Sharon Keidar-Barner and Dov Murik
  • Paper