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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Toward Realistic Image Compositing With Adversarial Learning CVPR 2019
Learning Rhyming Constraints using Structured Adversaries IJCNLP 2019
Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training IJCNLP 2019
One-Class Adversarial Nets for Fraud Detection AAAI 2019
One-Network Adversarial Fairness AAAI 2019
Learning from Bad Data via Generation NIPS 2019
Conditional Independence Testing using Generative Adversarial Networks NIPS 2019
Bridging Theory and Algorithm for Domain Adaptation ICML 2019
Learning with Bad Training Data via Iterative Trimmed Loss Minimization ICML 2019
Certified Adversarial Robustness via Randomized Smoothing ICML 2019
Adversarial examples from computational constraints ICML 2019
AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs ICML 2019
PAWS: Paraphrase Adversaries from Word Scrambling NAACL 2019
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure AAAI 2019
Towards Coherent and Cohesive Long-form Text Generation NAACL 2019
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce NAACL 2019
Deep Adversarial Learning for NLP NAACL 2019
Feature Denoising for Improving Adversarial Robustness CVPR 2019
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack CVPR 2019
Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition CVPR 2019
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation CVPR 2019
Residual Regression With Semantic Prior for Crowd Counting CVPR 2019
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition CVPR 2019
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search CVPR 2019
SparseFool: A Few Pixels Make a Big Difference CVPR 2019