adversarial example detection

Distilling Cognitive Backdoor Patterns within an Image ICLR 2023 Out-of-Distribution Detection With Reconstruction Error and Typicality-Based Penalty WACV 2023 ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation EMNLP 2022 Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis WACV 2022 Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations ACL 2022 Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation ACL 2022 Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent ICLR 2022 Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart CVPR 2022 Adversarial Example Detection Using Latent Neighborhood Graph ICCV 2021 Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions AAAI 2021 Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models AAAI 2021 Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain AAAI 2021 Improving Compositionality of Neural Networks by Decoding Representations to Inputs NeurIPS 2021 Provably robust classification of adversarial examples with detection ICLR 2021 Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors CVPR 2020 Dynamic Network Pruning with Interpretable Layerwise Channel Selection AAAI 2020 GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification ICLR 2020 ML-LOO: Detecting Adversarial Examples with Feature Attribution AAAI 2020 Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries EMNLP 2020 Towards Robust Detection of Adversarial Examples NeurIPS 2018