adversarial example

Adversarial Robustness Guarantees for Random Deep Neural Networks ICML 2021 Adversarial Robustness through Disentangled Representations AAAI 2021 Adversarial Voice Conversion Against Neural Spoofing Detectors Interspeech 2021 Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition IJCAI 2021 Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models ICCV 2021 A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks NeurIPS 2021 AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples EMNLP 2021 Appending Adversarial Frames for Universal Video Attack WACV 2021 Are Chess Discussions Racist? An Adversarial Hate Speech Data Set (Student Abstract) AAAI 2021 A single gradient step finds adversarial examples on random two-layers neural networks NeurIPS 2021 A Survey on Universal Adversarial Attack IJCAI 2021 Augmented Lagrangian Adversarial Attacks ICCV 2021 A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization ICML 2021 Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions AAAI 2021 Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation CVPR 2021 calibrated adversarial training ACML 2021 Certified Robustness to Programmable Transformations in LSTMs EMNLP 2021 Clustering Effect of Adversarial Robust Models NeurIPS 2021 Contextualized Perturbation for Textual Adversarial Attack NAACL 2021 Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification EMNLP 2021 Counterfactual Explanations for Oblique Decision Trees:Exact, Efficient Algorithms AAAI 2021 Crafting Adversarial Examples for Neural Machine Translation ACL 2021 DeepRobust: a Platform for Adversarial Attacks and Defenses AAAI 2021 Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity IJCAI 2021 Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck NeurIPS 2021