Definition
Model Poisoning is an attack where malicious actors manipulate the training data or model parameters of a machine learning system to introduce backdoors, degrade performance, or bias the model's outputs for their benefit.
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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.
Adversarial Machine Learning
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.
Supply Chain Attack
A Supply Chain Attack targets an organization by compromising a trusted third-party vendor, software provider, or service in its supply chain, using the trusted relationship to deliver malware or gain unauthorized access.
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