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Changshun Wu
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Journal Articles
- 2024
- [j3]Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa:
A survey of safety and trustworthiness of large language models through the lens of verification and validation. Artif. Intell. Rev. 57(7): 175 (2024) - [j2]Saddek Bensalem, Xiaowei Huang
, Wenjie Ruan, Qiyi Tang, Changshun Wu, Xingyu Zhao
:
Bridging formal methods and machine learning with model checking and global optimisation. J. Log. Algebraic Methods Program. 137: 100941 (2024) - 2019
- [j1]Changshun Wu
, Isabel Demongodin, Alessandro Giua:
Correction to "Synchronizing sequences on a class of unbounded systems using synchronized Petri nets". Discret. Event Dyn. Syst. 29(4): 521-526 (2019)
Conference and Workshop Papers
- 2023
- [c7]Mohamed Abdelsalam, Loai Ali, Saddek Bensalem, Weicheng He, Panagiotis Katsaros, Nikolaos Kekatos, Doron Peled, Anastasios Temperekidis, Changshun Wu:
A digital twin prototype for traffic sign recognition of a learning-enabled autonomous vehicle. PoEM Companion 2023 - [c6]Changshun Wu
, Yliès Falcone
, Saddek Bensalem
:
Customizable Reference Runtime Monitoring of Neural Networks Using Resolution Boxes. RV 2023: 23-41 - [c5]Saddek Bensalem, Chih-Hong Cheng, Wei Huang, Xiaowei Huang, Changshun Wu, Xingyu Zhao
:
What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety-Critical Systems. AISoLA 2023: 55-76 - [c4]Saddek Bensalem, Panagiotis Katsaros, Dejan Nickovic
, Brian Hsuan-Cheng Liao, Ricardo Ruiz Nolasco, Mohamed Abd El Salam Ahmed, Tewodros A. Beyene, Filip Cano
, Antoine Delacourt, Hasan Esen, Alexandru Forrai, Weicheng He, Xiaowei Huang, Nikolaos Kekatos, Bettina Könighofer, Michael Paulitsch, Doron Peled, Matthieu Ponchant, Lev Sorokin, Son Tong, Changshun Wu:
Continuous Engineering for Trustworthy Learning-Enabled Autonomous Systems. AISoLA 2023: 256-278 - 2022
- [c3]Hamzah Al-Qadasi, Changshun Wu, Yliès Falcone, Saddek Bensalem:
DeepAbstraction: 2-Level Prioritization for Unlabeled Test Inputs in Deep Neural Networks. AITest 2022: 64-71 - [c2]Chih-Hong Cheng, Changshun Wu, Emmanouil Seferis, Saddek Bensalem:
Prioritizing Corners in OoD Detectors via Symbolic String Manipulation. ATVA 2022: 397-413 - 2018
- [c1]Changshun Wu, Isabel Demongodin, Alessandro Giua:
Computation of synchronizing sequences for a class of 1-place-unbounded synchronized Petri nets. CoDIT 2018: 51-57
Informal and Other Publications
- 2024
- [i9]Mohamed Abdelsalam, Loai Ali, Saddek Bensalem, Weicheng He, Panagiotis Katsaros, Nikolaos Kekatos, Doron Peled, Anastasios Temperekidis, Changshun Wu:
A Digital Twin prototype for traffic sign recognition of a learning-enabled autonomous vehicle. CoRR abs/2402.09097 (2024) - [i8]Changshun Wu, Weicheng He, Chih-Hong Cheng, Xiaowei Huang, Saddek Bensalem:
BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detection. CoRR abs/2403.18373 (2024) - [i7]Chih-Hong Cheng, Changshun Wu, Harald Ruess, Xingyu Zhao, Saddek Bensalem:
Formal Specification, Assessment, and Enforcement of Fairness for Generative AIs. CoRR abs/2404.16663 (2024) - [i6]Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu, Jie Meng, Saddek Bensalem, Xiaowei Huang:
Safeguarding Large Language Models: A Survey. CoRR abs/2406.02622 (2024) - 2023
- [i5]Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong
, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu
, André Freitas, Mustafa A. Mustafa:
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. CoRR abs/2305.11391 (2023) - [i4]Chih-Hong Cheng, Changshun Wu, Harald Ruess, Saddek Bensalem:
Towards Rigorous Design of OoD Detectors. CoRR abs/2306.08447 (2023) - [i3]Saddek Bensalem, Chih-Hong Cheng, Wei Huang, Xiaowei Huang, Changshun Wu, Xingyu Zhao:
What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety Critical Systems. CoRR abs/2307.11784 (2023) - 2022
- [i2]Chih-Hong Cheng, Changshun Wu, Emmanouil Seferis, Saddek Bensalem:
Prioritizing Corners in OoD Detectors via Symbolic String Manipulation. CoRR abs/2205.07736 (2022) - 2021
- [i1]Changshun Wu, Yliès Falcone, Saddek Bensalem:
Customizable Reference Runtime Monitoring of Neural Networks using Resolution Boxes. CoRR abs/2104.14435 (2021)
Coauthor Index
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last updated on 2024-08-05 21:18 CEST by the dblp team
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