Showing 1–18 of 18 results
/ Date/ Name
Feb 27, 2021End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane CenteringMar 9, 2023Learning Representation for Anomaly Detection of Vehicle TrajectoriesSep 17, 2023Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential ModelingMay 27, 2022Semi-supervised Semantics-guided Adversarial Training for Trajectory PredictionMar 2, 2022TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and PredictorMay 27, 2024Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-based Decision-Making SystemsAug 14, 2020Leveraging Weakly-hard Constraints for Improving System Fault Tolerance with Functional and Timing GuaranteesFeb 6, 2023Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed TrafficAug 15, 2022A Tool for Neural Network Global Robustness Certification and TrainingNov 28, 2023Empowering Autonomous Driving with Large Language Models: A Safety PerspectiveJul 21, 2023Safety-Assured Speculative Planning with Adaptive PredictionDec 4, 2024Inverse Delayed Reinforcement LearningJul 23, 2025Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement LearningOct 4, 2024Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward ShapingNov 3, 2023State-Wise Safe Reinforcement Learning With Pixel ObservationsSep 29, 2022Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic EnvironmentsSep 25, 2025SFT Doesn't Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMsJan 22, 2022Safety-driven Interactive Planning for Neural Network-based Lane Changing