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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

Feature Denoising for Improving Adversarial Robustness CVPR 2019
WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks AAAI 2019
Reinforcement Learning under Threats AAAI 2019
Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning AAAI 2019
Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses AAAI 2019
The Adversarial Attack and Detection under the Fisher Information Metric AAAI 2019
Perceptual-Sensitive GAN for Generating Adversarial Patches AAAI 2019
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack CVPR 2019
Generalizing Eye Tracking With Bayesian Adversarial Learning CVPR 2019
Defending Against Adversarial Attacks by Randomized Diversification CVPR 2019
R3 Adversarial Network for Cross Model Face Recognition CVPR 2019
Improving Transferability of Adversarial Examples With Input Diversity CVPR 2019
Adversarial Reprogramming of Text Classification Neural Networks EMNLP 2019
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications AAAI 2019
Attacking Data Transforming Learners at Training Time AAAI 2019
Distributionally Adversarial Attack AAAI 2019
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks AAAI 2019
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks AAAI 2019
Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders AAAI 2019
Specializing Distributional Vectors of All Words for Lexical Entailment ACL 2019
Multi-Source Cross-Lingual Model Transfer: Learning What to Share ACL 2019
Heuristic Authorship Obfuscation ACL 2019
MEAL: Multi-Model Ensemble via Adversarial Learning AAAI 2019
Adversarial Attacks on Neural Networks for Graph Data IJCAI 2019
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency ACL 2019