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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning AISTATS 2020
Adversarial Localized Energy Network for Structured Prediction AAAI 2020
Demoting Racial Bias in Hate Speech Detection ACL 2020
Suspicion-Free Adversarial Attacks on Clustering Algorithms AAAI 2020
Weight Poisoning Attacks on Pretrained Models ACL 2020
Argot: Generating Adversarial Readable Chinese Texts IJCAI 2020
Multi-Class Imbalanced Graph Convolutional Network Learning IJCAI 2020
Contrastive Learning with Adversarial Examples NIPS 2020
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis NIPS 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation AAAI 2020
Adversarial Training is a Form of Data-dependent Operator Norm Regularization NIPS 2020
Efficient Generation of Structured Objects with Constrained Adversarial Networks NIPS 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness NIPS 2020
Adversarial Risk via Optimal Transport and Optimal Couplings ICML 2020
Regularized Optimal Transport is Ground Cost Adversarial ICML 2020
Adversarial Neural Pruning with Latent Vulnerability Suppression ICML 2020
Efficiently Learning Adversarially Robust Halfspaces with Noise ICML 2020
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness ICML 2020
On the Sample Complexity of Adversarial Multi-Source PAC Learning ICML 2020
Parameterized Rate-Distortion Stochastic Encoder ICML 2020
Margin-aware Adversarial Domain Adaptation with Optimal Transport ICML 2020
One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples CVPR 2020
Polishing Decision-Based Adversarial Noise With a Customized Sampling CVPR 2020
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations CVPR 2020
Single-Step Adversarial Training With Dropout Scheduling CVPR 2020