Permutation-Based Stegomalware in Large Language Models: Threats and Countermeasures
This paper demonstrates the full potential of behavior-preserving symmetries as a defense against stegomalware, as well as the risks these symmetries pose when exploited by attackers, and quantifies the loss in model performance associated with applying these methods.
Danny Wood, James Stringer
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