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Adversarial Learning

4,854 papers

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Papers

Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions NIPS 2021
Adversarial Graph Augmentation to Improve Graph Contrastive Learning NIPS 2021
Adversarial Attack Generation Empowered by Min-Max Optimization NIPS 2021
Class-Disentanglement and Applications in Adversarial Detection and Defense NIPS 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training NIPS 2021
Adversarial Neuron Pruning Purifies Backdoored Deep Models NIPS 2021
Towards Robust and Reliable Algorithmic Recourse NIPS 2021
Adversarial Regression with Doubly Non-negative Weighting Matrices NIPS 2021
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck NIPS 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning NIPS 2021
Projected GANs Converge Faster NIPS 2021
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness NIPS 2021
Manipulating SGD with Data Ordering Attacks NIPS 2021
IRM—when it works and when it doesn't: A test case of natural language inference NIPS 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NIPS 2021
Learning Models for Actionable Recourse NIPS 2021
Backdoor Attack with Imperceptible Input and Latent Modification NIPS 2021
Adversarial Robustness with Non-uniform Perturbations NIPS 2021
Adversarial Teacher-Student Representation Learning for Domain Generalization NIPS 2021
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds NIPS 2021
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations NIPS 2021
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints NIPS 2021
Excess Capacity and Backdoor Poisoning NIPS 2021
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition NIPS 2021
Exponential Separation between Two Learning Models and Adversarial Robustness NIPS 2021