Adversarial Learning

VIBE: Video Inference for Human Body Pose and Shape Estimation CVPR 2020 WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning CVPR 2020 Weighted-Sampling Audio Adversarial Example Attack AAAI 2020 What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? ICML 2020 What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images CVPR 2020 When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks CVPR 2020 WinoGrande: An Adversarial Winograd Schema Challenge at Scale AAAI 2020 Word-level Textual Adversarial Attacking as Combinatorial Optimization ACL 2020 Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling NeurIPS 2020 Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models CVPR 2020 Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature AAAI 2020 3D Volumetric Modeling with Introspective Neural Networks AAAI 2019 Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation EMNLP 2019 Active Generative Adversarial Network for Image Classification AAAI 2019 ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation CVPR 2019 Adversarial Attack on Sentiment Classification ACL 2019 Adversarial Attacks Beyond the Image Space CVPR 2019 Adversarial Defense by Stratified Convolutional Sparse Coding CVPR 2019 Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators AISTATS 2019 Adversarial Domain Adaptation for Machine Reading Comprehension EMNLP 2019 Adversarial Dropout for Recurrent Neural Networks AAAI 2019 Adversarial Examples Are Not Bugs, They Are Features NeurIPS 2019 Adversarial Framing for Image and Video Classification AAAI 2019 Adversarial Inference for Multi-Sentence Video Description CVPR 2019 Adversarial Learning for Weakly-Supervised Social Network Alignment AAAI 2019