Utilities intended for use with Llama models.

A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security and NDSS).

Examples for an AI course following the textbook Artificial Intelligence: A Modern Approach by Russell and Norvig.

This package implements the trustee framework to extract decision tree explanation from black-box ML models.

NYU Deep Learning Spring 2020

Deep Learning (with PyTorch)

An opinionated list of awesome Python frameworks, libraries, software and resources.

Repository for tutorial sessions at EEML2020

Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

Small and highly portable detection tests based on MITRE's ATT&CK.

Tink is a multi-language, cross-platform, open source library that provides cryptographic APIs that are secure, easy to use correctly, and hard(er) to misuse.