robust optimization

Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks With Implicit Gradients CVPR 2022 Robust Subset Selection by Greedy and Evolutionary Pareto Optimization IJCAI 2022 Sample Complexity of Robust Reinforcement Learning with a Generative Model AISTATS 2022 Semantically Distributed Robust Optimization for Vision-and-Language Inference ACL 2022 Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty ICML 2022 Stable Classification JMLR 2022 Subspace Adversarial Training CVPR 2022 The Geometry of Robust Value Functions ICML 2022 Toward Efficient Robust Training against Union of ℓ_p Threat Models NeurIPS 2022 Towards a Robust Differentiable Architecture Search Under Label Noise WACV 2022 Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training CVPR 2022 Unsupervised Anomaly Detection by Robust Density Estimation AAAI 2022 Adversarially robust learning for security-constrained optimal power flow NeurIPS 2021 Adversarially Robust Low Dimensional Representations COLT 2021 Adversarial Robustness with Semi-Infinite Constrained Learning NeurIPS 2021 Adversarial Training and Provable Robustness: A Tale of Two Objectives AAAI 2021 AdvRush: Searching for Adversarially Robust Neural Architectures ICCV 2021 Amata: An Annealing Mechanism for Adversarial Training Acceleration AAAI 2021 Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training NeurIPS 2021 Class-Aware Robust Adversarial Training for Object Detection CVPR 2021 Convex-Concave Min-Max Stackelberg Games NeurIPS 2021 Defending SVMs against poisoning attacks: the hardness and DBSCAN approach UAI 2021 DSRNA: Differentiable Search of Robust Neural Architectures CVPR 2021 Efficient Training of Robust Decision Trees Against Adversarial Examples ICML 2021 Fantastic Four: Differentiable and Efficient Bounds on Singular Values of Convolution Layers ICLR 2021