adversarial attack

Adversarial Robustness Against the Union of Multiple Perturbation Models ICML 2020 Adversarial Robustness for Code ICML 2020 Adversarial Robustness via Runtime Masking and Cleansing ICML 2020 Adversarial Semantic Collisions EMNLP 2020 Adversarial Separation Network for Speaker Recognition Interspeech 2020 Adversarial Training is a Form of Data-dependent Operator Norm Regularization NeurIPS 2020 Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks AAAI 2020 AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows NeurIPS 2020 A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks AAAI 2020 A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses NeurIPS 2020 A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples COLING 2020 An Efficient Adversarial Attack for Tree Ensembles NeurIPS 2020 An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference CoNLL 2020 A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories AAAI 2020 A principled approach for generating adversarial images under non-smooth dissimilarity metrics AISTATS 2020 A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models AAAI 2020 A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning ICLR 2020 A Topology Layer for Machine Learning AISTATS 2020 Attack to Explain Deep Representation CVPR 2020 Backpropagating Linearly Improves Transferability of Adversarial Examples NeurIPS 2020 Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020 BayesOpt Adversarial Attack ICLR 2020 Benchmarking Adversarial Robustness on Image Classification CVPR 2020 BERT-ATTACK: Adversarial Attack Against BERT Using BERT EMNLP 2020 Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks ICLR 2020