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Adversarial Learning

4854 directly classified papers

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Papers

A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples COLING 2020
Graph Information Bottleneck NIPS 2020
Converting Anyone’s Emotion: Towards Speaker-Independent Emotional Voice Conversion INTERSPEECH 2020
Adversarially Robust Learning Could Leverage Computational Hardness. ALT 2020
BERT-ATTACK: Adversarial Attack Against BERT Using BERT EMNLP 2020
HABERTOR: An Efficient and Effective Deep Hatespeech Detector EMNLP 2020
Neural Topic Modeling with Cycle-Consistent Adversarial Training EMNLP 2020
Adversarial Text Generation via Sequence Contrast Discrimination EMNLP 2020
Domain Generalization via Entropy Regularization NIPS 2020
Practical No-box Adversarial Attacks against DNNs NIPS 2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows NIPS 2020
Denoised Smoothing: A Provable Defense for Pretrained Classifiers NIPS 2020
End-to-End Learning and Intervention in Games NIPS 2020
Training Generative Adversarial Networks by Solving Ordinary Differential Equations NIPS 2020
Most ReLU Networks Suffer from $\ell^2$ Adversarial Perturbations NIPS 2020
Adversarial Distributional Training for Robust Deep Learning NIPS 2020
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation NIPS 2020
The Pitfalls of Simplicity Bias in Neural Networks NIPS 2020
Biologically Inspired Mechanisms for Adversarial Robustness NIPS 2020
Boosting Adversarial Training with Hypersphere Embedding NIPS 2020
MRI Banding Removal via Adversarial Training NIPS 2020
Higher-Order Certification For Randomized Smoothing NIPS 2020
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks NIPS 2020
Adversarial Example Games NIPS 2020
Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms NIPS 2020