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Statistical Guarantees for Safe 2D Object Detection Post-processing
Safeguarding Learning-based Control for Smart Energy Systems with Sampling Specifications
Selected Challenges in ML Safety for Railway
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles
Are Transformers More Robust? Towards Exact Robustness Verification for Transformers
Formally Compensating Performance Limitations for Imprecise 2D Object Detection
Sensing and Machine Learning for Automotive Perception: A Review
Can Conformal Prediction Obtain Meaningful Safety Guarantees for ML Models?
Logically Sound Arguments for the Effectiveness of ML Safety Measures