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Adversarial Learning

4,859 papers

Papers per year

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Papers

Adversarial Text Generation via Feature-Mover's Distance NIPS 2018
On gradient regularizers for MMD GANs NIPS 2018
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries NIPS 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation NIPS 2018
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks NIPS 2018
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization NIPS 2018
Adaptation to Easy Data in Prediction with Limited Advice NIPS 2018
Spectral Signatures in Backdoor Attacks NIPS 2018
PacGAN: The power of two samples in generative adversarial networks NIPS 2018
Semidefinite relaxations for certifying robustness to adversarial examples NIPS 2018
Disconnected Manifold Learning for Generative Adversarial Networks NIPS 2018
Contamination Attacks and Mitigation in Multi-Party Machine Learning NIPS 2018
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution NIPS 2018
Scaling provable adversarial defenses NIPS 2018
Unsupervised Text Style Transfer using Language Models as Discriminators NIPS 2018
Invariant Representations without Adversarial Training NIPS 2018
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks NIPS 2018
Nonparametric Density Estimation under Adversarial Losses NIPS 2018
Sparse DNNs with Improved Adversarial Robustness NIPS 2018
MetaGAN: An Adversarial Approach to Few-Shot Learning NIPS 2018
Unsupervised Attention-guided Image-to-Image Translation NIPS 2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders NIPS 2018
Robustness of conditional GANs to noisy labels NIPS 2018
Bayesian Adversarial Learning NIPS 2018
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization NIPS 2018