LLMscope reveals physical vulnerabilities in edge AI chips via optical probing
LLMscope demonstrates that large language model (LLM) assets such as embeddings and attention states can be extracted from edge AI chips during inference using laser voltage imaging. This exposes new physical side-channel attack risks as model parameters are repeatedly processed on-chip.