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09/01/2023
Curating Naturally Adversarial Datasets for Trustworthy AI in Healthcare
Deep learning models have shown promising predictive accuracy for time-s...
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08/28/2023
Distributionally Robust Statistical Verification with Imprecise Neural Networks
A particularly challenging problem in AI safety is providing guarantees ...
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08/23/2023
How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy
End-to-end learning has emerged as a major paradigm for developing auton...
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04/06/2023
Causal Repair of Learning-enabled Cyber-physical Systems
Models of actual causality leverage domain knowledge to generate convinc...
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01/26/2023
Conservative Safety Monitors of Stochastic Dynamical Systems
Generating accurate runtime safety estimates for autonomous systems is v...
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11/04/2021
Monotonic Safety for Scalable and Data-Efficient Probabilistic Safety Analysis
Autonomous systems with machine learning-based perception can exhibit un...
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11/03/2021