3 papers
cs.CR2026
End-to-End Hard-Label Cryptanalytic Model Extraction Using Efficient Sign Recovery
Akira Ito, Takayuki Miura, Yosuke Todo
The importance of deep neural networks (DNNs) is widely recognized, and the parameters obtained through training are regarded as valuable assets. Recently, attacks that extract the…
cs.LG2025
Robust Backdoor Removal by Reconstructing Trigger-Activated Changes in Latent Representation
Kazuki Iwahana, Yusuke Yamasaki, Akira Ito +2
Backdoor attacks pose a critical threat to machine learning models, causing them to behave normally on clean data but misclassify poisoned data into a poisoned class. Existing defe…
cs.LG2025
Is the Hard-Label Cryptanalytic Model Extraction Really Polynomial?
Akira Ito, Takayuki Miura, Yosuke Todo
Deep Neural Networks (DNNs) have attracted significant attention, and their internal models are now considered valuable intellectual assets. Extracting such a model via oracle acce…