Yi Dong

According to our database, Yi Dong authored at least 17 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A survey of safety and trustworthiness of large language models through the lens of verification and validation.

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

Artif. Intell. Rev., July, 2024

Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting.

Yi Dong, Yingjie Wang, Mariana Gama, Mustafa A. Mustafa, Geert Deconinck, Xiaowei Huang

IEEE Internet Things J., May, 2024

Reachability Verification Based Reliability Assessment for Deep Reinforcement Learning Controlled Robotics and Autonomous Systems.

Yi Dong, Xingyu Zhao, Sen Wang, Xiaowei Huang

IEEE Robotics Autom. Lett., 2024

Adaptive Guardrails For Large Language Models via Trust Modeling and In-Context Learning.

Jinwei Hu, Yi Dong, Xiaowei Huang

CoRR, 2024

Safeguarding Large Language Models: A Survey.

Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu, Jie Meng, Saddek Bensalem, Xiaowei Huang

CoRR, 2024

Building Guardrails for Large Language Models.

Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang

CoRR, 2024

Position: Building Guardrails for Large Language Models Requires Systematic Design.

Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance.

Yi Dong, Wei Huang, Vibhav Bharti, Victoria Cox, Alec Banks, Sen Wang, Xingyu Zhao, Sven Schewe, Xiaowei Huang

ACM Trans. Embed. Comput. Syst., 2023

STPA for Learning-Enabled Systems: A Survey and A New Method.

Yi Qi, Yi Dong, Xingyu Zhao, Xiaowei Huang

CoRR, 2023

STPA for Learning-Enabled Systems: A Survey and A New Practice.

Yi Qi, Yi Dong, Siddartha Khastgir, Paul A. Jennings, Xingyu Zhao, Xiaowei Huang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Short-term Load Forecasting with Distributed Long Short-Term Memory.

Yi Dong, Yang Chen, Xingyu Zhao, Xiaowei Huang

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Decentralised and Cooperative Control of Multi-Robot Systems through Distributed Optimisation.

Yi Dong, Zhongguo Li, Xingyu Zhao, Zhengtao Ding, Xiaowei Huang

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems through Probabilistic Model Checking.

Yi Dong, Xingyu Zhao, Xiaowei Huang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

EnnCore: End-to-End Conceptual Guarding of Neural Architectures.

Edoardo Manino, Danilo S. Carvalho, Yi Dong, Julia Rozanova, Xidan Song, Mustafa A. Mustafa, André Freitas, Gavin Brown, Mikel Luján, Xiaowei Huang, Lucas C. Cordeiro

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022

2021

Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems.

Xingyu Zhao, Wei Huang, Vibhav Bharti, Yi Dong, Victoria Cox, Alec Banks, Sen Wang, Sven Schewe, Xiaowei Huang

CoRR, 2021

Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems.

Yi Dong, Xingyu Zhao, Xiaowei Huang

CoRR, 2021

Detecting Operational Adversarial Examples for Reliable Deep Learning.

Xingyu Zhao, Wei Huang, Sven Schewe, Yi Dong, Xiaowei Huang

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021