Adversarial Learning

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses CVPR 2019 Deep Leakage from Gradients NeurIPS 2019 Defending Against Adversarial Attacks by Randomized Diversification CVPR 2019 Defending Neural Backdoors via Generative Distribution Modeling NeurIPS 2019 Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training NeurIPS 2019 Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search CVPR 2019 Destruction and Construction Learning for Fine-Grained Image Recognition CVPR 2019 Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View CVPR 2019 Differentiable Game Mechanics JMLR 2019 Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation AAAI 2019 Distributionally Adversarial Attack AAAI 2019 Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model CVPR 2019 Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection CVPR 2019 DM2C: Deep Mixed-Modal Clustering NeurIPS 2019 Domain-agnostic Question-Answering with Adversarial Training EMNLP 2019 Domain-Symmetric Networks for Adversarial Domain Adaptation CVPR 2019 Don't let your Discriminator be fooled ICLR 2019 Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition CVPR 2019 Emergence of Object Segmentation in Perturbed Generative Models NeurIPS 2019 Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness NeurIPS 2019 Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering AAAI 2019 Enhanced Pix2pix Dehazing Network CVPR 2019 Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks CVPR 2019 Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks ICCV 2019 EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning AAAI 2019