Adversarial Machine Learning: What is it?
Summary
This BrightTALK InfoSec article describes adversarial machine learning, which involves subverting machine learning models by manipulating data. The talk associated with the article will cover vulnerabilities in machine learning and provide advice for developing or using machine learning models. Attendees can earn CPE/CEU credits for attending the live webinar.
IFF Assessment
Adversarial machine learning presents a way for attackers to undermine machine learning models, which makes the overall cybersecurity landscape more complex.
Severity
Defender Context
Defenders need to be aware of adversarial machine learning techniques and how they can be used to compromise systems. It is important to implement robust data validation and monitoring to detect and prevent malicious data manipulation. As machine learning becomes more prevalent in security systems, understanding and mitigating adversarial attacks will be critical.