machine learning


Video: Understanding Image Scaling Attacks
Using Microsoft Counterfit to create adversarial examples for Husky AI
Machine Learning Attack Series: Overview
Machine Learning Attack Series: Generative Adversarial Networks (GANs)
Assuming Bias and Responsible AI
Machine Learning Attack Series: Repudiation Threat and Auditing
Video: Building and breaking a machine learning system
Machine Learning Attack Series: Image Scaling Attacks
Machine Learning Attack Series: Adversarial Robustness Toolbox Basics
Hacking neural networks - so we don't get stuck in the matrix
CVE 2020-16977: VS Code Python Extension Remote Code Execution
Machine Learning Attack Series: Stealing a model file
Coming up: Grayhat Red Team Village talk about hacking a machine learning system
Participating in the Microsoft Machine Learning Security Evasion Competition - Bypassing malware models by signing binaries
Machine Learning Attack Series: Backdooring models
Machine Learning Attack Series: Perturbations to misclassify existing images
Machine Learning Attack Series: Smart brute forcing
Machine Learning Attack Series: Brute forcing images to find incorrect predictions
Threat modeling a machine learning system
MLOps - Operationalizing the machine learning model
Husky AI: Building a machine learning system
The machine learning pipeline and attacks
Getting the hang of machine learning
Red Teaming Telemetry Systems