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cs.LG2022
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples
Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki
Deep Metric Learning (DML) is a prominent field in machine learning with extensive practical applications that concentrate on learning visual similarities. It is known that inputs…
cs.LG2019★ 10 cited
Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems
Kazuya Kakizaki, Kosuke Yoshida
Thanks to recent advances in deep neural networks (DNNs), face recognition systems have become highly accurate in classifying a large number of face images. However, recent studies…
cs.LG2018★ 2 cited
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples
Hajime Ono, Tsubasa Takahashi, Kazuya Kakizaki
How can we make machine learning provably robust against adversarial examples in a scalable way? Since certified defense methods, which ensure -robust, consume huge resources, t…