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Adversarial Learning

4,859 papers

Papers per year

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588
561
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Papers

Instance Selection for GANs NIPS 2020
Adversarial Counterfactual Learning and Evaluation for Recommender System NIPS 2020
Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms NIPS 2020
Adversarial Attacks on Linear Contextual Bandits NIPS 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness NIPS 2020
Efficient Generation of Structured Objects with Constrained Adversarial Networks NIPS 2020
Adversarial Training is a Form of Data-dependent Operator Norm Regularization NIPS 2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows NIPS 2020
Understanding and Improving Fast Adversarial Training NIPS 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning NIPS 2020
Domain Generalization via Entropy Regularization NIPS 2020
An Efficient Adversarial Attack for Tree Ensembles NIPS 2020
Robust Pre-Training by Adversarial Contrastive Learning NIPS 2020
End-to-End Learning and Intervention in Games NIPS 2020
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis NIPS 2020
Contrastive Learning with Adversarial Examples NIPS 2020
Adversarial Sparse Transformer for Time Series Forecasting NIPS 2020
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach NIPS 2020
Task-Robust Model-Agnostic Meta-Learning NIPS 2020
ColdGANs: Taming Language GANs with Cautious Sampling Strategies NIPS 2020
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift NIPS 2020
Provably Robust Metric Learning NIPS 2020
HYDRA: Pruning Adversarially Robust Neural Networks NIPS 2020
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses NIPS 2020
Graph Information Bottleneck NIPS 2020