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cs.LG2022
On the Adversarial Transferability of ConvMixer Models
Ryota Iijima, Miki Tanaka, Isao Echizen +1
Deep neural networks (DNNs) are well known to be vulnerable to adversarial examples (AEs). In addition, AEs have adversarial transferability, which means AEs generated for a source…
cs.CV2022
On the Transferability of Adversarial Examples between Encrypted Models
Miki Tanaka, Isao Echizen, Hitoshi Kiya
Deep neural networks (DNNs) are well known to be vulnerable to adversarial examples (AEs). In addition, AEs have adversarial transferability, namely, AEs generated for a source mod…
cs.CV2022
A Detection Method of Temporally Operated Videos Using Robust Hashing
Shoko Niwa, Miki Tanaka, Hitoshi Kiya
SNS providers are known to carry out the recompression and resizing of uploaded videos/images, but most conventional methods for detecting tampered videos/images are not robust eno…