Understanding the Adversarial Landscape of Large Language Models Through the Lens of Attack Objectives

Summary

This article maps the adversarial landscape against large language models from the perspective of attacker objectives. It groups threats into four categories: privacy breaches, integrity compromises, adversarial misuse, and availability disruptions.

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