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Safety Performance of Neural Networks in the Presence of Covariate Shift
Guest Editorial Special Issue on Sensing and Machine Learning for Automotive Perception
Butterfly Effect Attack: Tiny and Seemingly Unrelated Perturbations for Object Detection
Statistical Property Testing for Generative Models
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles
Statistical Guarantees for Safe 2D Object Detection Post-processing
Can Conformal Prediction Obtain Meaningful Safety Guarantees for ML Models?
Are Transformers More Robust? Towards Exact Robustness Verification for Transformers
Safeguarding Learning-based Control for Smart Energy Systems with Sampling Specifications
Sensing and Machine Learning for Automotive Perception: A Review