Commissariat à l'Énergie Atomique et aux Énergies Alternatives

Physical hardware security evaluation has depended on a person choosing each laser fault-injection position, power and timing. A large-language-model agent now links firmware reverse engineering, chip imagery and experimental decisions into a closed loop, choosing the next shot inside human-approved safety bounds. On an ATmega328P it produced a skipped load instruction and a wrong-PIN acceptance confirmed by a separate state read; on an Artix-7 FPGA the same workflow extended to ciphertext-error classification in programmable logic.

Physical hardware security evaluation has depended on a person choosing each laser fault-injection position, power and timing. A large-language-model agent now links firmware reverse engineering, chip imagery and experimental decisions into a closed loop, choosing the next shot inside human-approved safety bounds. On an ATmega328P it produced a skipped load instruction and a wrong-PIN acceptance confirmed by a separate state read; on an Artix-7 FPGA the same workflow extended to ciphertext-error classification in programmable logic.

CAPTOR, a vision-language foundation model pretrained on 25,512 chest-abdomen-pelvis CT-report pairs from cancer-focused exams, outperformed existing CT foundation models in its target setting. Disease classification reached an AUC of 0.767 versus 0.695 for the next-best model on the full chest-abdomen-pelvis subset, and 0.784 versus 0.734 on the oncologic subset. It encodes organ-centered crops of whole exams but makes study-level, not lesion-level, judgments.

CAPTOR, a vision-language foundation model pretrained on 25,512 chest-abdomen-pelvis CT-report pairs from cancer-focused exams, outperformed existing CT foundation models in its target setting. Disease classification reached an AUC of 0.767 versus 0.695 for the next-best model on the full chest-abdomen-pelvis subset, and 0.784 versus 0.734 on the oncologic subset. It encodes organ-centered crops of whole exams but makes study-level, not lesion-level, judgments.