132 citations · 196 across the 20 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
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.LG2019★ 2 cited
Detecting and Correcting Adversarial Images Using Image Processing Operations
Huy H. Nguyen, Minoru Kuribayashi, Junichi Yamagishi +1
Deep neural networks (DNNs) have achieved excellent performance on several tasks and have been widely applied in both academia and industry. However, DNNs are vulnerable to adversa…