Adversarial Learning

Fundamental Tradeoffs in Distributionally Adversarial Training ICML 2021 G2D: Generate to Detect Anomaly WACV 2021 GANMEX: One-vs-One Attributions using GAN-based Model Explainability ICML 2021 GANmut: Learning Interpretable Conditional Space for Gamut of Emotions CVPR 2021 GANs Can Play Lottery Tickets Too ICLR 2021 GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis Interspeech 2021 GANs Unplugged AAAI 2021 GAN Vocoder: Multi-Resolution Discriminator Is All You Need Interspeech 2021 Generalised Lipschitz Regularisation Equals Distributional Robustness ICML 2021 Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics EMNLP 2021 Generalized Adversarially Learned Inference AAAI 2021 Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks NeurIPS 2021 Generalized Domain Adaptation CVPR 2021 Generating Adversarial Computer Programs using Optimized Obfuscations ICLR 2021 Generating Adversarial Disturbances for Controller Verification L4DC 2021 Generating adversarial examples with graph neural networks UAI 2021 Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract) AAAI 2021 Generating Natural Language Attacks in a Hard Label Black Box Setting AAAI 2021 Generative Adversarial Neural Architecture Search IJCAI 2021 Generative Adversarial Registration for Improved Conditional Deformable Templates ICCV 2021 Generative Context Pair Selection for Multi-hop Question Answering EMNLP 2021 Generic Oracles for Structured Prediction ACL 2021 Geometry-aware Instance-reweighted Adversarial Training ICLR 2021 Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization EMNLP 2021 G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators NeurIPS 2021