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Chih-Hong Cheng

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Instance-Level Safety-Aware Fidelity of Synthetic Data and Its Calibration

Feb 10, 2024
Chih-Hong Cheng, Paul Stöckel, Xingyu Zhao

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Runtime Monitoring DNN-Based Perception

Oct 06, 2023
Chih-Hong Cheng, Michael Luttenberger, Rongjie Yan

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Safeguarding Learning-based Control for Smart Energy Systems with Sampling Specifications

Aug 11, 2023
Chih-Hong Cheng, Venkatesh Prasad Venkataramanan, Pragya Kirti Gupta, Yun-Fei Hsu, Simon Burton

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Safety Performance of Neural Networks in the Presence of Covariate Shift

Jul 24, 2023
Chih-Hong Cheng, Harald Ruess, Konstantinos Theodorou

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What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety Critical Systems

Jul 20, 2023
Saddek Bensalem, Chih-Hong Cheng, Wei Huang, Xiaowei Huang, Changshun Wu, Xingyu Zhao

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Towards Rigorous Design of OoD Detectors

Jun 14, 2023
Chih-Hong Cheng, Changshun Wu, Harald Ruess, Saddek Bensalem

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Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles

May 28, 2023
Utku Ayvaz, Chih-Hong Cheng, Hao Shen

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EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning

Mar 06, 2023
Monish R. Nallapareddy, Kshitij Sirohi, Paulo L. J. Drews-Jr, Wolfram Burgard, Chih-Hong Cheng, Abhinav Valada

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Butterfly Effect Attack: Tiny and Seemingly Unrelated Perturbations for Object Detection

Nov 14, 2022
Nguyen Anh Vu Doan, Arda Yüksel, Chih-Hong Cheng

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Safety Metrics and Losses for Object Detection in Autonomous Driving

Sep 21, 2022
Hsuan-Cheng Liao, Chih-Hong Cheng, Hasan Esen, Alois Knoll

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