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Attack strings generated by PUFFERDOS not only fit realistic input lengths but also guarantee exploitability in real-world regex engines, unlike previous methods.
VideoLLMs leak training data: a novel black-box attack recovers membership with surprisingly high accuracy (AUC=0.68) by probing generation brittleness across temperatures.
