Timeline & Publications

2025

• • Under submission:

    • Hammer and Anvil: A Principled Defense Against Backdoors in Federated Learning.

    • On the Trade-Off Between Transparency and Security in Adversarial Machine Learning.

2024

• USENIX 2024: 

  • Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions. 

• ICLR 2024: Leveraging Optimization for Adaptive Attacks on Image Watermarks. 

• Completed Master's Degree & Started PhD.

2023

• GECCO 2023: Gaggle: Genetic Algorithms on the GPU using PyTorch. 

2021-2022

• Completed Undergraduate Degree & Started Master's Degree.

2020

• Machine Learning applied to Particle Astrophysics in the search for Dark Matter with the SuperCDMS group (2020-2021).  Presented the results of our research during the Cross Disciplinary Intership at the Annual National Meeting of the Arthur B. McDonald Canadian Astroparticle Physics Research Institute.

2019

• Percy, J.R., & Fenaux, L. 2019, "Period Analysis of All-Sky Automated Survey for Supernovae (ASAS-SN) Data on Pulsating Red Giants", Journal of the American Association of Variable Star Observers, vol. 47, 202-208.