Maura's personal homepage, created from mmistakes/minimal-mistakes

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Deadline countdowns for academic conferences in Security and Privacy

Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)

Scalable Multi-Agent RL Training School for Autonomous Driving

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

Short PhD seminar on Machine Learning Security (Adversarial Machine Learning)

Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX