adversarial example

Functional Adversarial Attacks NeurIPS 2019 Generating 3D Adversarial Point Clouds CVPR 2019 Generating Fluent Adversarial Examples for Natural Languages ACL 2019 Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance IJCAI 2019 HyperGAN: A Generative Model for Diverse, Performant Neural Networks ICML 2019 Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition ICML 2019 Improved Generalization Bounds for Robust Learning ALT 2019 Improving Adversarial Robustness via Promoting Ensemble Diversity ICML 2019 Improving Transferability of Adversarial Examples With Input Diversity CVPR 2019 MeshAdv: Adversarial Meshes for Visual Recognition CVPR 2019 Model-Agnostic Adversarial Detection by Random Perturbations IJCAI 2019 NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks ICML 2019 On Relating Explanations and Adversarial Examples NeurIPS 2019 On Robustness to Adversarial Examples and Polynomial Optimization NeurIPS 2019 On the Convergence and Robustness of Adversarial Training ICML 2019 On the Robustness of Self-Attentive Models ACL 2019 Perceptual-Sensitive GAN for Generating Adversarial Patches AAAI 2019 Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples CVPR 2019 Robust Decision Trees Against Adversarial Examples ICML 2019 Robustness Guarantees for Bayesian Inference with Gaussian Processes AAAI 2019 Robust Neural Machine Translation with Doubly Adversarial Inputs ACL 2019 Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space IJCAI 2019 Sensitivity Analysis of Deep Neural Networks AAAI 2019 signSGD via Zeroth-Order Oracle ICLR 2019 Statistical Guarantees for the Robustness of Bayesian Neural Networks IJCAI 2019