DeepSec 2025 Talk: Machine Learning Poisoning: How Attackers Can Manipulate AI Models for Malicious Purposes – Shahmeer Amir
The use of machine learning and artificial intelligence has been on the rise in various industries, including the field of cybersecurity. These technologies have shown great potential in detecting and mitigating cyber threats, but they also come with their own set of risks. One of the most significant risks is the threat of machine learning poisoning attacks. Machine learning poisoning attacks involve an attacker manipulating the data or the learning algorithm used by an AI model to compromise its accuracy or functionality. This type of attack is particularly dangerous because it can go undetected for a long time, and it can be challenging to trace its origins. A successful poisoning attack can result in the AI model making incorrect decisions, which can lead to a security breach or data loss. The session will cover