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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

On Adversarial Mixup Resynthesis NIPS 2019
Online Multiclass Boosting with Bandit Feedback AISTATS 2019
Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity IJCAI 2019
Data Poisoning against Differentially-Private Learners: Attacks and Defenses IJCAI 2019
Adversarial Examples for Graph Data: Deep Insights into Attack and Defense IJCAI 2019
Real-Time Adversarial Attacks IJCAI 2019
Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging NAACL 2019
An Optimal Algorithm for Stochastic and Adversarial Bandits AISTATS 2019
Data Poisoning Attack against Knowledge Graph Embedding IJCAI 2019
Enhancing Stock Movement Prediction with Adversarial Training IJCAI 2019
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets IJCAI 2019
Adversarial Learning With Margin-Based Triplet Embedding Regularization ICCV 2019
On Robustness to Adversarial Examples and Polynomial Optimization NIPS 2019
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects CORL 2019
Adversarial Robustness through Local Linearization NIPS 2019
REM: From Structural Entropy to Community Structure Deception NIPS 2019
Evaluating and Enhancing the Robustness of Dialogue Systems: A Case Study on a Negotiation Agent NAACL 2019
Personalized Dialogue Response Generation Learned from Monologues INTERSPEECH 2019
StoryGAN: A Sequential Conditional GAN for Story Visualization CVPR 2019
Unsupervised Domain Adaptation via Regularized Conditional Alignment ICCV 2019
Improving Domain Adaptation Translation with Domain Invariant and Specific Information NAACL 2019
GAN Driven Semi-distant Supervision for Relation Extraction NAACL 2019
Visionary Security: Using Uncertain Real-Time Information in Signaling Games IJCAI 2019
Theoretical Analysis of Adversarial Learning: A Minimax Approach NIPS 2019
Evaluating Text GANs as Language Models NAACL 2019