2021
Adversarial Example Detection Using Latent Neighborhood Graph
ICCV 2021poster
Detection of adversarial examples with high accuracy is critical for the security of deployed deep neural network-based models. We present the first graph-based adversarial detection method that constructs a Latent Neighborhood Graph (LNG) around an input example to determine if the input example is…