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How to Hack an AI
July 18, 2023, 3:46 p.m. | SANS Institute
SANS Institute www.youtube.com
Speaker: Harriet Farlow, CEO, Mileva Security Labs
Adversarial machine learning (or AML) is a field growing in prominence that represents the ability to “hack” Artificial Intelligence (AI) and Machine Learning (ML) algorithms by poisoning data sets imperceptibly before training, by evading classification, leaking confidential information or by hijacking the model's function to make it do something it wasn't intended to. The rapid uptake of AI/ML systems by organizations means the attack surface is growing significantly. …
adversarial ai cybersecurity algorithms aml artificial artificial intelligence ceo classification confidential cybersecurity data data sets hack hijacking information intelligence labs machine machine learning poisoning sans security summit training
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