Enhanced Security against Adversarial Examples Using a Random Ensemble of Encrypted Vision Transformer Models

Ryota Iijima, Miki Tanaka, Sayaka Shiota +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…