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cs.CR2026
Dummy Backdoor as a Defense: Removing Unknown Backdoors via Shared Internal Mechanisms for Generative LLMs
Kazuki Iwahana, Masaru Matsubayashi, Takuma Koyama +4
Backdoor attacks pose a serious threat to the safety and reliability of Large Language Models (LLMs), as they cause models to behave normally on clean inputs while producing attack…
cs.CR2021★ 2 cited
First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data
Masataka Tasumi, Kazuki Iwahana, Naoto Yanai +5
Model extraction attacks are a kind of attacks where an adversary obtains a machine learning model whose performance is comparable with one of the victim model through queries and…