Anomaly detection of adversarial examples using class-conditional generative adversarial networks

Semi-supervised robust training with generalized perturbed neighborhood

(2021) Yiming Li et al.   PATTERN RECOGNITION

Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting

(2021) Federico Nesti et al.   IEEE Transactions on Neural Networks and Learning Systems

Adversarial Learning Targeting Deep Neural Network Classification: A Comprehensive Review of Defenses Against Attacks

(2020) David J. Miller et al.   PROCEEDINGS OF THE IEEE

Detection of Backdoors in Trained Classifiers Without Access to the Training Set

(2020) Zhen Xiang et al.   IEEE Transactions on Neural Networks and Learning Systems

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

(2019) Thomas Schlegl et al.   MEDICAL IMAGE ANALYSIS

When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time

(2019) David Miller et al.   NEURAL COMPUTATION