Adversarial Learning

Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval AAAI 2021 Dual Contradistinctive Generative Autoencoder CVPR 2021 Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement CVPR 2021 Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder AAAI 2021 Enabling Fast and Universal Audio Adversarial Attack Using Generative Model AAAI 2021 Enhanced Regularizers for Attributional Robustness AAAI 2021 Enhancing the Transferability of Adversarial Attacks Through Variance Tuning CVPR 2021 Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball CVPR 2021 Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models ACL 2021 Exploring Adversarial Fake Images on Face Manifold CVPR 2021 FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations EMNLP 2021 Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients AAAI 2021 Fast Certified Robust Training with Short Warmup NeurIPS 2021 Fast Training of Provably Robust Neural Networks by SingleProp AAAI 2021 Feature Space Targeted Attacks by Statistic Alignment IJCAI 2021 Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks NeurIPS 2021 Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs AAAI 2021 Functional Space Analysis of Local GAN Convergence ICML 2021 Fundamental Tradeoffs in Distributionally Adversarial Training ICML 2021 GANMEX: One-vs-One Attributions using GAN-based Model Explainability ICML 2021 GAN Prior Embedded Network for Blind Face Restoration in the Wild CVPR 2021 GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis Interspeech 2021 Generalized Adversarially Learned Inference AAAI 2021 Generating Natural Language Attacks in a Hard Label Black Box Setting AAAI 2021 Globally-Robust Neural Networks ICML 2021