A security vulnerability has been identified in AI assistants like ChatGPT, where sequential, read-only queries can reveal sensitive individual data. Even with aggregate operations and minimum cohort sizes, an attacker can deduce specific values, such as an employee's salary, by comparing the results of two related queries. To prevent such differencing attacks, a robust policy layer is required to evaluate factors like query history, dimensional granularity, and cumulative disclosure budgets, rather than relying on individual query security. AI
IMPACT Highlights potential privacy risks in AI assistants, necessitating stronger data protection measures for user data.
RANK_REASON Security vulnerability in an AI product.
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