Definition
Adversarial Machine Learning is the study of techniques that exploit vulnerabilities in AI and ML systems by crafting inputs designed to cause models to make incorrect predictions or classifications.
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Common questions about Adversarial Machine Learning answered by our security experts.
Related Terms
AI Security
AI Security addresses the unique threats and vulnerabilities associated with artificial intelligence and machine learning systems, including adversarial attacks, model poisoning, data privacy, and the security of AI-driven decision-making.
Threat Intelligence
Threat intelligence is evidence-based knowledge about existing or emerging threats to an organization's security. It includes context, indicators of compromise (IOCs), and actionable insights that help organizations understand, prevent, and respond to cyber threats.
Data Privacy
Data Privacy is the right of individuals to control how their personal information is collected, used, stored, and shared by organizations, enforced through regulations like GDPR, CCPA, and PIPEDA.
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