As AI gains traction, data poisoning emerges as a critical threat. Forcepoint identifies three attack types: availability attacks impairing entire models, backdoor attacks tainting training data, and targeted attacks on specific data subsets. The research also distinguishes between black-box attacks by outsiders and white-box attacks by insiders, highlighting the growing challenges in AI security.

Source: silicon angle

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