adversarial attack

Generating 3D Adversarial Point Clouds CVPR 2019 Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency ACL 2019 G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors ACML 2019 Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks ICCV 2019 Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models IJCAI 2019 Improving Transferability of Adversarial Examples With Input Diversity CVPR 2019 Interpreting and Evaluating Neural Network Robustness IJCAI 2019 Knockoff Nets: Stealing Functionality of Black-Box Models CVPR 2019 Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications CVPR 2019 Knowledge Distillation with Adversarial Samples Supporting Decision Boundary AAAI 2019 Learning from brains how to regularize machines NeurIPS 2019 Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder NeurIPS 2019 Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification EMNLP 2019 Low Frequency Adversarial Perturbation UAI 2019 MeshAdv: Adversarial Meshes for Visual Recognition CVPR 2019 Metric Learning for Adversarial Robustness NeurIPS 2019 NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks ICML 2019 Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks AAAI 2019 Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once ICCV 2019 On Certifying Non-Uniform Bounds against Adversarial Attacks ICML 2019 On Robustness to Adversarial Examples and Polynomial Optimization NeurIPS 2019 On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method ICCV 2019 On the Hardness of Robust Classification NeurIPS 2019 On the Robustness of Self-Attentive Models ACL 2019 Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack CVPR 2019