Research & Publications
2024
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions. (Published) (Master's Work)
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge (Under submission) (Master's Thesis)
ICLR 2024: Leveraging Optimization for Adaptive Attacks on Image Watermarks. (Published) (Master's Work)
Completed Master's Degree & Started PhD.
2023
GECCO 2023: Gaggle: Genetic Algorithms on the GPU using PyTorch. (Published) (Master's Work)
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.