A Unified Framework for Analyzing and Detecting Malicious Examples of DNN Models

1 code implementation • 26 Jun 2020 • Kaidi Jin, Tianwei Zhang, Chao Shen, Yufei Chen, Ming Fan, Chenhao Lin, Ting Liu

In this paper, we present a unified framework for detecting malicious examples and protecting the inference results of Deep Learning models.

Adversarial Defense