This article categorizes adversarial threats to large language models, revealing key objectives and implications.
Large language models have revolutionized artificial intelligence but face growing adversarial threats. This article presents the adversarial landscape from a novel perspective by categorizing threats into four key objectives: privacy breaches, integrity compromises, adversarial misuse, and availability disruptions.
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Wang et al. (2026) studied this question.
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