William Ermlick's starred repositories
awesome-ml-privacy-attacks
An awesome list of papers on privacy attacks against machine learning
TAADpapers
Must-read Papers on Textual Adversarial Attack and Defense
counterfit
a CLI that provides a generic automation layer for assessing the security of ML models
secml_malware
Create adversarial attacks against machine learning Windows malware detectors
adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
quick-SQL-cheatsheet
A quick reminder of all SQL queries and examples on how to use them.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.