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#adversarialml — Public Fediverse posts

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  1. Quite fascinating. If confirmed, this may reveal a structural weakness in how refusal is implemented in some LLMs. The accept/refuse mechanism may be relatively isolated in internal representations and therefore observable and manipulable — tools like Heretic make this visible.

    A possible mitigation might be cryptographic signing of model weights, making unauthorized modifications detectable when the model is loaded for inference.

    #AISafety #LLMSecurity #CyberSecurity #AIRedTeaming #AdversarialML #LLM