Skip to content
conftrace_

Adversarial Learning

5,204 papers

6
8
628
694
'10
'15
'20
'25

Papers

On Strength Adjustment for MCTS-Based Programs AAAI 2019 On Target Shift in Adversarial Domain Adaptation AISTATS 2019 On the Connection Between Adversarial Robustness and Saliency Map Interpretability ICML 2019 On the Convergence and Robustness of Adversarial Training ICML 2019 On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method ICCV 2019 On the Effectiveness of Low Frequency Perturbations IJCAI 2019 On the Global Optima of Kernelized Adversarial Representation Learning ICCV 2019 On the Hardness of Robust Classification NeurIPS 2019 On the Sensitivity of Adversarial Robustness to Input Data Distributions ICLR 2019 On the Usage of Phonetic Information for Text-Independent Speaker Embedding Extraction Interspeech 2019 Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts ACL 2019 Open-ended learning in symmetric zero-sum games ICML 2019 Open Event Extraction from Online Text using a Generative Adversarial Network EMNLP 2019 Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators IJCAI 2019 Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack CVPR 2019 Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization ICML 2019 Partially Encrypted Deep Learning using Functional Encryption NeurIPS 2019 PAWS: Paraphrase Adversaries from Word Scrambling NAACL 2019 PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification EMNLP 2019 Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention CVPR 2019 PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation IJCAI 2019 Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis AAAI 2019 Perceptual-Sensitive GAN for Generating Adversarial Patches AAAI 2019 Personalized Dialogue Response Generation Learned from Monologues Interspeech 2019 Physical Adversarial Textures That Fool Visual Object Tracking ICCV 2019