Reconnaissance: Mapping AI Targets | Techniques and Defenses in Adversarial ML
Understanding how adversaries map AI targets is crucial for building secure machine learning systems. Reconnaissance, the initial phase in most adversarial strategies, involves gathering information to identify vulnerabilities in AI/ML systems. Attackers use various methods, such as analyzing publicly available data, victim-owned websites, and application repositories, as well as performing active scanning to create a […]
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