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As organizations deploy AI across critical security functions, adversarial testing becomes essential. This framework covers how to systematically probe ML systems for weaknesses before attackers do.
AutoRobust uses RL to generate problem-space adversarial malware, real, functional binary/runtime...
Researchers uncovered a seven-year campaign that weaponized hundreds of seemingly benign Chrome/Edge...
A empirical study analyzing ~45,000 model repos across five major model-sharing platforms finds that...
Research builds a focused benchmark and attack suite showing that resumes, the very documents we feed...
Executive Summary AI email assistants are increasingly vulnerable to prompt injection—a...