Adversarial Machine Learning: What is it?
Summary
This article introduces adversarial machine learning, explaining how adversaries can manipulate training data to subvert machine learning models. It outlines categories of vulnerabilities and offers considerations for developing and using ML models. The piece also highlights that WiCyS webinars, including this one, offer CPE/CEU credits for attendees.
IFF Assessment
The article discusses a free training opportunity for cybersecurity professionals, providing valuable knowledge and continuing education credits.
Defender Context
Understanding adversarial machine learning is crucial for defenders as it highlights novel attack vectors against AI systems. Defenders need to be aware of data poisoning and evasion techniques that can compromise the integrity and reliability of ML-powered security tools.