Caijun Sun

About Me

I am currently a Senior Engineer at Zhejiang Academy of Agricultural Sciences, dedicated to empowering agricultural applications with AI technologies. Previously, I worked as an Senior Engineer at Zhejiang Lab, where I focused on cybersecurity, ML, DL, FL, RL and LLM.

I received my Ph.D. degree from Beijing University of Posts and Telecommunications, Beijing, China in 2020, where I was fortunate to be supervised by Prof. Wen Qiaoyan and Prof. Qin Sujuan. Prior to this, I received my B.E degree from Hangzhou Normal University, Hangzhou, China in 2013, where I was fortunate to be advised by Prof. Li Kuang.

I enjoy exploring new concepts and cutting-edge technologies, and I am eager to take on fresh challenges. I am skilled at translating theory into practice and continuously deepening my knowledge in technical fields through hands-on experience.

Research Interests

• Cybersecurity
• Machine/Deep/Federated/Reinforcement Learning
• Large Language Model

News

• [Oct. 2025] Our paper "Split Unlearning" is awarded a Distinguished Paper at ACM CCS 2025.
• [Sep. 2025] I have left Zhejiang Lab and joined Zhejiang Academy of Agricultural Sciences, where I am focusing on research in the integration of agriculture and AI.
• [Sep. 2025] Our paper "Exploiting Attribute Correlation for Reconstruction Attacks on Differentially Private Multi-Attributed Data" is accepted to Journal of Information Security and Applications.
• [Mar. 2025] Our paper "Split Unlearning" is accepted to ACM CCS 2025.
• [Aug. 2024] Our paper "Preventing Harm to the Rare in Combating the Malicious: A Filtering-and-Voting Framework with Adaptive Aggregation in Federated Learning" is accepted to Neurocomputing.
• [Mar. 2024] Our paper "TBDD: A New Trust-based, DRL-driven Framework for Blockchain Sharding in IoT" is accepted to COMPUTER NETWORKS.
• [Oct. 2023] Our paper "IronForge: An Open, Secure, Fair, Decentralized Federated Learning" is accepted to IEEE Transactions on Neural Networks and Learning Systems.
• [Jul. 2023] Our paper "Obfuscating the Dataset: Impacts and Applications" is accepted to ACM Transactions on Intelligent Systems and Technology.
• [Feb. 2023] Our paper "A First Look into Blockchain DAOs" accepted to IEEE ICBC'23.
• [Sept. 2022] Our paper "A Secure Aggregation for Federated Learning on Long-Tailed Data." is accepted to NeurIPS-2022 Workshop.

Publications

Awards

• Distinguished Paper Award - ACM CCS 2025 (2025) - For the paper "Split Unlearning" [Link]
• Zhejiang Provincial Science and Technology Award Second Prize - Zhejiang Provincial Government (2022) [6/9] - Key Technologies and Applications of Multi-level Cross-domain Examination System (Qi Wenya, Luo Hanguang, Zha Minzhong, Zou Tao, Xiao Geyang, Sun Caijun, Lin Dong, Zhang Chenxi, Wang Ziyi)
• Zhejiang Provincial Department of Science and Technology Science and Technology Award Third Prize - Zhejiang Provincial Department of Science and Technology (2013) [5/7] - Research on Wireless Network Boundary Security Access Technology Based on Trusted Computing (Xia Yingjie, Kuang Li, Zhou Zonghe, Zhang Sen, Sun Caijun, Bao Liangdi, Wu Jiaming)
• Hangzhou Municipal Science and Technology Bureau Science and Technology Progress Award Third Prize - Hangzhou Municipal Science and Technology Bureau (2013) [5/7] - Research on Wireless Network Boundary Security Access Technology Based on Trusted Computing (Xia Yingjie, Kuang Li, Zhou Zonghe, Zhang Sen, Sun Caijun, Bao Liangdi, Wu Jiaming)

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