adversarial example

Curriculum Adversarial Training IJCAI 2018 Decision Boundary Analysis of Adversarial Examples ICLR 2018 Deep One-Class Classification ICML 2018 Did the Model Understand the Question? ACL 2018 Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System EMNLP 2018 Efficient Neural Network Robustness Certification with General Activation Functions NeurIPS 2018 Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach ICLR 2018 Fooling Vision and Language Models Despite Localization and Attention Mechanism CVPR 2018 Generating Adversarial Examples with Adversarial Networks IJCAI 2018 Generating Natural Adversarial Examples ICLR 2018 Generating Natural Language Adversarial Examples EMNLP 2018 Generative Adversarial Perturbations CVPR 2018 HotFlip: White-Box Adversarial Examples for Text Classification ACL 2018 Improved Network Robustness with Adversary Critic NeurIPS 2018 Know What You Don’t Know: Unanswerable Questions for SQuAD ACL 2018 LaVAN: Localized and Visible Adversarial Noise ICML 2018 Mitigating Adversarial Effects Through Randomization ICLR 2018 mixup: Beyond Empirical Risk Minimization ICLR 2018 Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples ICML 2018 On Adversarial Examples for Character-Level Neural Machine Translation COLING 2018 Out-of-Distribution Detection using Multiple Semantic Label Representations NeurIPS 2018 Pathologies of Neural Models Make Interpretations Difficult EMNLP 2018 PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples ICLR 2018 Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope ICML 2018 Rethinking Feature Distribution for Loss Functions in Image Classification CVPR 2018