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Adversarial Learning

4,859 papers

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Papers

Adversarial Data Augmentation for Disordered Speech Recognition INTERSPEECH 2021
Incorporating Unlabeled Data into Distributionally Robust Learning JMLR 2021
Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs JMLR 2021
LocalGAN: Modeling Local Distributions for Adversarial Response Generation JMLR 2021
A General Framework for Adversarial Label Learning JMLR 2021
First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems JMLR 2021
Bandit Learning in Decentralized Matching Markets JMLR 2021
A Bayes-Optimal View on Adversarial Examples JMLR 2021
How Well Generative Adversarial Networks Learn Distributions JMLR 2021
Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures JMLR 2021
On the Hardness of Robust Classification JMLR 2021
SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions L4DC 2021
Generating Adversarial Disturbances for Controller Verification L4DC 2021
Concealed Data Poisoning Attacks on NLP Models NAACL 2021
Fool Me Twice: Entailment from Wikipedia Gamification NAACL 2021
APo-VAE: Text Generation in Hyperbolic Space NAACL 2021
Multi-Adversarial Learning for Cross-Lingual Word Embeddings NAACL 2021
Posterior Differential Regularization with f-divergence for Improving Model Robustness NAACL 2021
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! NAACL 2021
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews NAACL 2021
Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus NAACL 2021
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots NAACL 2021
Universal Adversarial Attacks with Natural Triggers for Text Classification NAACL 2021
Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack NAACL 2021
Grey-box Adversarial Attack And Defence For Sentiment Classification NAACL 2021