white-box attack

Query Complexity of Adversarial Attacks ICML 2021 Adversarial Attacks on Copyright Detection Systems ICML 2020 A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks AAAI 2020 Diversity can be Transferred: Output Diversification for White- and Black-box Attacks NeurIPS 2020 Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks CVPR 2020 Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples ACL 2020 Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack ICML 2020 On Breaking Deep Generative Model-based Defenses and Beyond ICML 2020 Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations NeurIPS 2020 x-Vectors Meet Adversarial Attacks: Benchmarking Adversarial Robustness in Speaker Verification Interspeech 2020 Adversarial Attack on Sentiment Classification ACL 2019 Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks ICCV 2019 Adversarial Reprogramming of Text Classification Neural Networks EMNLP 2019 Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses CVPR 2019 Defending against Whitebox Adversarial Attacks via Randomized Discretization AISTATS 2019 PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks ICLR 2019 The Odds are Odd: A Statistical Test for Detecting Adversarial Examples ICML 2019 White-box vs Black-box: Bayes Optimal Strategies for Membership Inference ICML 2019 Deep Text Classification Can be Fooled IJCAI 2018 HotFlip: White-Box Adversarial Examples for Text Classification ACL 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