conftrace_

robust machine learning

11 papers

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Co-occurring keywords · papers mentioning both

adversarial attack (2) non-convex optimization (2) stochastic gradient descent (2) stochastic optimization (2) object detection benchmark (1) vision-based detection (1) closed-loop simulator (1) environmental robustness (1) byzantine robust training (1) entropy-based uncertainty (1)

Papers

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization AAAI 2024 Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods NeurIPS 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator NeurIPS 2023 Enhance Robustness of Machine Learning with Improved Efficiency AAAI 2023 Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning ICLR 2023 Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions ICML 2022 Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning NeurIPS 2022 Toward learning human-aligned cross-domain robust models by countering misaligned features UAI 2022 DeepRobust: a Platform for Adversarial Attacks and Defenses AAAI 2021 Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks ICML 2021