On August 11, during the 12th CCF BigData Society Conference (CCF BigData 2024), the "Trusted Data Space" forum, organized by the China Computer Federation (CCF) and co-organized by the State Key Laboratory of Blockchain and Data Security at Zhejiang University and the College of Computer Science and Technology at Shandong University, was successfully held in Qingdao, Shandong Province. The forum was co-chaired by Professor Ren Kui, Dean of the College of Computer Science and Technology at Zhejiang University and Executive Deputy Director of the State Key Laboratory of Blockchain and Data Security, and Professor Cheng Xiuzhen, Dean of the College of Computer Science and Technology at Shandong University. Leading experts and renowned scholars in related fields discussed key technologies, challenges, and future directions regarding data security, privacy protection, and blockchain technologies in building trusted data spaces. They explored pathways for open sharing, data element circulation, and promoted technological innovation and development.
Professor Ren Kui gave a presentation
Professor Cheng Xiuzhen gave a presentation
Professors Ren Kui and Cheng Xiuzhen introduced the guest speakers and warmly welcomed the experts and scholars.
Professor Li Jianhua gave a presentation
Professor Li Jianhua's Presentation:
Professor Li Jianhua, Honorary Dean of the Cyberspace Security College at Shanghai Jiao Tong University and Director of the National Engineering Research Center for Information Content Analysis Technology, delivered a keynote report titled "Data Security and Personal Privacy Protection" from the perspective of national security strategy. He systematically discussed the connotations of data security and personal privacy protection, highlighting the crucial connections between data security and various entities, enterprises, and organizations. He also provided a detailed interpretation of relevant national laws and regulations, offering effective suggestions and innovative ideas on how to safeguard data security and enhance personal privacy protection capabilities.
Professor Chen Xiaofeng gave a presentation
Professor Chen Xiaofeng's Presentation:
Professor Chen Xiaofeng, Deputy Dean of the College of Network and Information Security at Xidian University, presented on the topic of "Editable Blockchain." He explained that blockchain, known for its decentralization, immutability, verifiability, and traceability, has demonstrated significant application value in many areas. However, in certain scenarios, it is necessary to delete illegal data stored on the blockchain or modify old data. His report delved into the research progress on editable blockchain technology.
Professor Wang Qian gave a presentation
Professor Wang Qian's Presentation:
Professor Wang Qian, Executive Dean of the National Cybersecurity College at Wuhan University, delivered a keynote report titled "Big Language Model Security and Privacy Protection." He discussed the background of large language model development and addressed the security and privacy issues, countermeasures, and limitations of the three main data types within these systems: text data, models, and prompts. He also explored potential security and privacy challenges that could emerge as large language models evolve.
Professor Zhu Liehuang gave a presentation
Professor Zhu Liehuang's Presentation:
In his report titled "Trusted Data Service Platform Based on Privacy Computing," Professor Zhu Liehuang, Party Secretary and Dean of the College of Cyberspace Security at Beijing Institute of Technology, highlighted the significant progress made in privacy computing in recent years. However, he emphasized ongoing challenges in terms of performance, security, technological integration, and cross-platform applications. His presentation focused on trusted sharing models for data element utilization, privacy computing technologies, and their integration into trusted data services and industry applications.
Professor Liu Zheli gave a presentation
Professor Liu Zheli's Presentation:
Professor Liu Zheli, Deputy Dean of the College of Computer Science and the School of Cyberspace Security at Nankai University, provided a comprehensive overview of the current research status on dense databases. His report, titled "Dense Database and Ciphertext Query Technology," addressed issues related to model architecture, encryption algorithms, security objectives, and technical challenges. He also proposed solutions that integrate random access memory and trusted execution environments.
Professor Li Jin gave a presentation
Professor Li Jin's Presentation:
Professor Li Jin, Director of the Science and Technology Division and Executive Director of the Artificial Intelligence Research Institute at Guangzhou University, delivered a presentation titled "Large Model Security and Privacy: Current Status and Challenges." He discussed the key challenges and research progress related to security and privacy in large models, highlighting his team's work on training data privacy, model ontology and component security, model access control, and copyright protection of model-generated content. He also outlined future research directions and potential applications in vertical industries.
The CCF Big Data Academic Conference is one of the most influential and largest academic gatherings in China’s big data field, having been held successfully for 12 sessions. The "Trusted Data Space" Forum, co-organized by the CCF Big Data Expert Committee, Zhejiang University, and Shandong University, not only fosters a positive academic atmosphere and expands influence in related fields but also provides a platform for collaboration. It aims to ensure the secure circulation of data elements and unlock the potential of these elements, contributing valuable insights to the healthy and orderly development of trusted data spaces.
