How large models can solve data dilemmas, WAIC experts from industry, academia and research discuss ways to break through

In the AGI era, large model technology has brought disruptive changes to the industry. The rapid iteration of large model technology cannot be separated from the support of massive data. The flow and sharing of high-quality professional data is an important link in promoting the accelerated development of large model technology applications.

#However, while large models create huge value, they also bring security and privacy challenges to the large-scale application of data. Providers of high-quality industry data are worried that large models will "remember" plaintext training data, resulting in loss of data value, so they are reluctant to provide industry data; information when users access large models may also be illegally collected and used by the model parties, resulting in personal privacy and the risk of trade secrets being disclosed. Privacy computing is of great significance and value for solving the data security and privacy issues that exist in this process.

Under the guidance of the World Artificial Intelligence Conference Organizing Committee Office, Ant Group, China Telecom Group Co., Ltd., China Academy of Information and Communications Technology East China Branch, Zhejiang University Blockchain and Data The "2024 WAIC Privacy Computing: Facilitating the Trustworthy Integration Development Forum of Large Models and Data" hosted by the National Key Laboratory of Security and co-organized by this site will be held on on July 6 at Held in Golden Hall B+C of Shanghai World Expo Center.

As one of the important sub-forums of the World Artificial Intelligence Conference over the years, the WAIC Privacy Computing Series Forum aims to create an annual high-profile exchange platform in the field of privacy computing. This year it has It is held for the fourth year. Over the past four years, the Privacy Computing Series Forum has gradually extended from academic discussions to industrial exploration and large-scale application, to the continuous maturation of industry standards. In 2024, the forum will continue to keep up with the cutting-edge trends in technological development, focusing on how privacy computing can provide a trusted and secure base for large-scale application of large models and cross-industry circulation of data. It will set up keynote speeches and results from three dimensions: academic, standards, and industry. Through various forms such as releases and round-table dialogues, representatives from government, industry, academia and research are invited to participate in discussions and sharing.

Talk directly to the pain points of privacy and security in the era of large models

Sharing cutting-edge privacy computing technology from a global perspective

The forum invites big names in academia and industry to directly address the new challenges, new practices and new developments facing data privacy and security in the era of big models from multiple perspectives, including academic and application. It also has a global perspective and invites guests with an international perspective to share privacy computing. advanced technology.

In the "Academic Frontiers of Privacy Computing Technology" section, we invited the "Yang Zhenning Lecture", an academician of the Chinese Academy of Sciences, a fellow of the International Cryptozoology Association (IACR Fellow), and the Institute for Advanced Study of Tsinghua University. Professor 王小云, and Ren Kui, Dean of the School of Computer Science and Technology of Zhejiang University and Executive Deputy Director of the National Key Laboratory of Blockchain and Data Security, shared cutting-edge observations.

Industry standards are gradually taking shape

Data trusted circulation technology has entered the systematic stage

With the maturity of privacy computing-related technologies and the increase in industrial implementation practices, the consensus and specifications of the data industry chain in terms of policies, regulations, industry standards and other aspects have been gradually improved, oriented towards data circulation. The trust framework has been built.

In the "Data Trusted Circulation Standards and Technical System" section, this forum invited Chen Junyan, Chief Engineer of the East China Branch of the China Academy of Information and Communications Technology, Director of the Digital Economy and Legal Innovation Research Center of the University of International Business and Economics Xuanzang and Beijing UnionPay Gold Card Technology Co., Ltd. (National Financial Technology Evaluation Center) associate researcher and head of the R&D center Yang Bo, three Experts will provide an in-depth analysis of important standards, systems and norms in the trusted circulation of data.

"Lingyu Cloud" large model dense state computing service is released

The latest practical cases of dense state computing are released

#The technological development of large models not only brings greater market space for dense state computing, but also promotes the continuous evolution of dense state computing technology. Through the combination with large model technology, Ant Group will officially release the "Lingyu Cloud" large model dense state computing service. "Lingyu" privacy computing technology and products will be more adapted to the development requirements of large model technology, and will also be more intelligent and efficient. Serves the trusted circulation of data.

In the "Dense Computing Industry Development and Practice" section, Ant Group Vice President and Chief Technology Security Officer Wei Tao, Zhejiang Ant Computing Technology Co., Ltd. CEO Wang Lei and others will further introduce this.

In addition, Zhang Chao, CEO of Beijing Zuoyi Technology Co., Ltd., will introduce how data is of great value based on the application practice of the large model industry. , and at the same time, in medical scenarios that require high data privacy protection, how can dense computing technology release the value of data and promote the trusted flow of data.

In view of the security and privacy challenges existing in the large-scale data application of the entire large model, Deputy General Manager of the Technology Strategy and Execution Department of Ant Group Technology Co., Ltd.Peng Jin, Chief Expert of China Telecom’s Large Model and Head of the Large Model TeamLiu Jingqian, Deputy Director of the Cloud Computing and Big Data Research Institute of China Academy of Information and Communications Technology, Deputy Secretary-General of the Privacy Computing AllianceYuan Bo, Zhejiang University's "Hundred Talents Plan" researcher and doctoral supervisor Liu Jian, and Ant Group's technical director of privacy computing department Yu Chaofan and other guests will bring exciting sharing and discussion.

One picture to understand forum settings

「2024 WAIC Privacy Computing: Facilitating the trusted integration of large models and data Development Forum" full schedule

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The above schedule is still being updated

Forum registration and participation benefits

The forum has now opened seats for offline professional audiences. Welcome to scan the QR code below to register and participate. At the same time, on the day of the event, on-site participants are required to sign in and receive a ticket before the opening. They can receive free tickets at the check-in counter after the forum, including "Confidential Computing: AI Data Security and Privacy Protection" and "Privacy Computing— —Key Technologies to Promote the "Usable Invisibility" of Data", "Privacy Computing", "Private Computing and Cryptography Application Practice" and other industry books (limited quantity, first come first served, each audience can only receive One).

If you want to further communicate with us or have any questions about the conference, please add our assistant WeChat (id: 13661489516) and remark "Privacy Computing Forum" for consultation .

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