model robustness

Boosting Adversarial Attacks With Momentum CVPR 2018 Cascade Adversarial Machine Learning Regularized with a Unified Embedding ICLR 2018 Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models ICLR 2018 Ensemble Adversarial Training: Attacks and Defenses ICLR 2018 Generating Natural Adversarial Examples ICLR 2018 Generating Natural Language Adversarial Examples EMNLP 2018 On Adversarial Examples for Character-Level Neural Machine Translation COLING 2018 On Robust Trimming of Bayesian Network Classifiers IJCAI 2018 On the Impact of Various Types of Noise on Neural Machine Translation ACL 2018 Robust Machine Comprehension Models via Adversarial Training NAACL 2018 Stochastic Activation Pruning for Robust Adversarial Defense ICLR 2018 Towards Robust Neural Machine Translation ACL 2018 Certified Defenses for Data Poisoning Attacks NeurIPS 2017 Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples NeurIPS 2017 To Improve the Robustness of LSTM-RNN Acoustic Models Using Higher-Order Feedback from Multiple Histories Interspeech 2017 Learning with Pseudo-Ensembles NeurIPS 2014