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ai security
Adam Shostack Talks Hugging Face & PHANTOM-B
Adam Shostack, a prominent threat modeling expert, praised OpenAI's disclosure of an attack against Hugging Face and discussed his newly developed threat model for large language models (LLMs). Shostack characterized his model as lightweight and practical for practitioners to apply.
Why it matters: Security teams evaluating LLM risk need accessible threat modeling frameworks, and Shostack's approach offers a starting point for assessing attacks on AI platforms and supply chains.
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- First seen by Cybersecurity Tracker
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ai security
Adam Shostack Talks Hugging Face & PHANTOM-B
Adam Shostack, a threat modeling expert, commented on OpenAI's disclosure of the Hugging Face attack and discussed his newly developed threat model for large language models (LLMs), which he characterizes as lightweight while maintaining practical utility.
Why it matters: Security teams building or evaluating LLM systems should review Shostack's threat model framework to improve their own modeling practices and understand emerging attack vectors against model repositories and hosting platforms.
- Source published
- First seen by Cybersecurity Tracker