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  • 【Academic Forum】 AI Security and Privacy Forum 15th Session

【Academic Forum】 AI Security and Privacy Forum 15th Session

July 15, 2022 Academic Events

AI Security and Privacy Forum 15th Session

 

Copyright transaction and protection of AI models and derivatives

 

Time: 09:00 to 11:00 AM, Beijing Time

Date: 15 July (Friday), 2022

 

Seminar Information

Speaker: Prof. Neil Gong, Assistant Professor in the Department of Electrical and Computer Engineering and Department of Computer Science (secondary appointment) , Duke University

Topic: Adversarial Robustness of Deep Vision Models and Black-Box Attacks

 

Speaker: Dr. Wei Liu, The Outstanding Scientist of Tencent and the Head of Advertising AI of the TEG Data Platform Department

Topic: Tencent AI big model

 

Speaker: Dr. Jianfeng Cao, Senior Researcher of Tencent Research Institute

Topic: Opportunities and challenges for generative AI

 

 

Roundtable

Host

PRES. Qinglan Wang, Director and Vice President of Beipeng Frontier Technology Law Research Institute

 

Guest

Prof. Neil Gong 

(Assistant Professor at Duke University)

Prof. Zhifeng Zheng 

(Associate Professor of School of Civil and Commercial Law at Southwest University of Political Science and Law)

Dr. Wei Liu

 (The Outstanding Scientist of Tencent)

Dr. Jianfeng Cao 

(The Outstanding Scientist of Tencent)

 

Topics

Development and application trends of AI models  

The current challenges and development trends of copyright protection of AI models and derivatives

The mutual influence of AI model and copyright protection in future development

 

 

Abstract

Abstract: Machine learning is revolutionizing many aspects of our society. Training a machine learning model often requires a huge amount of data and computation resources. As a result, both training data and models may represent intellectual property of model providers and data owners. In this talk, we will discuss attacks to compromise the intellectual property of machine learning and defenses against them. In Part I, we will show how an attacker can steal a model provider's training data (in particular graph data), hyperparameters used to train the model, and model parameters via simply querying the model. In Part II, we will discuss how a model provider can protect the intellectual property of its model via fingerprinting its classification boundary. In Part III, we will discuss how a data owner can audit whether its data were misused to train a given model without his/her authorization. 

 

Biography

 

Prof. Neil Gong

Neil Gong is an Assistant Professor in the Department of Electrical and Computer Engineering and Department of Computer Science (secondary appointment) at Duke University. He is interested in cybersecurity and data privacy with a recent focus on the intersections between security, privacy, and machine learning. He received an NSF CAREER Award, ARO Young Investigator Program (YIP) Award, Rising Star Award from the Association of Chinese Scholars in Computing, IBM Faculty Award, Facebook Research Award, and multiple best paper or best paper honorable mention awards. He received a B.E. from the University of Science and Technology of China in 2010 (with the highest honor) and a Ph.D. in Computer Science from the University of California, Berkeley in 2015.

 

Dr. Wei Liu

Wei Liu is currently the Outstanding Scientist of Tencent and the Head of Advertising AI of the TEG Data Platform Department. Before that, he received his Ph.D. in Computer Science and Electrical Engineering from Columbia University, USA, and was a research scientist at IBM Watson Research Center. Dr. Liu has long been engaged in basic research and technical product development in AI core areas, such as machine learning, deep learning, computer vision, information retrieval, and big data. Dr. Liu is currently the editorial board member of several international authoritative AI journals (such as IEEE TPAMI, TNNLS), and the field chair of many top international AI conferences (such as NeurIPS, ICML, CVPR, ICCV). Dr. Liu is a Fellow of the International Association for Pattern Recognition (IAPR Fellow), a Fellow of the Institute of Mathematics and its Applications  (IMA Fellow), and an Elected Member of International Statistical Institute.

 

Dr. Jianfeng Cao

Jianfeng Cao, Senior Researcher of Tencent Research Institute, Visiting Professor of Shanghai University of Political Science and Law, Distinguished Researcher of Digital Rule of Law Research Institute of East China University of Political Science and Law, Director of Science and Technology Ethics Committee of China Association for Ethical Studies, Director of the Board of Information and Communication Law of Guangdong Province Law Society. He has long been engaged in policy, law and social ethics research related to internet frontier technology and digital economy. His main research directions include artificial intelligence governance, data law and intellectual property rights, autonomous vehicle policy, international digital economy governance, legal technology, blockchain, meta-universe. He has been invited many times to attend and give speeches at top domestic and international conferences in the field of artificial intelligence. He led the planning and writing o research reports, such as Explainable AI Development Report 2022, AI Generatied  Content Development Report 2020, Ethical Perspectives on Technology in the Age of Intelligence - Reshaping Trust in the Digital Society, and the 2018 Global Autonomous Driving Legal Policy Research Report.

 

Dr. Qinglan Wang

Qinglan Wang, Doctor of Laws, Post-doctor in Computer Science and Technology. Currently, she is the director and vice president of Beipeng Frontier Technology Legal Research Institute, the deputy director of the Blockchain Committee of the Shenzhen City Computer Federation, the head of the Frontier Technology and Policy Legal Research Group in the and the Shenzhen-Hong Kong Industry-Academia-Research Base of the Peking University Shenzhen Graduate School, the head of Legal Compliance Group of the Open Islands, which is China's first international open source community for autonomous and controlled privacy computing, and the lecturer of the "Personal Information Protection Professional (CISP-PIP)" qualification assessment of the China Network Security Review Technology and Certification Center. She is also the head of the legal compliance group of the community committee of Open Islands, the first international open source community for autonomous privacy computing in China, and an instructor of the "Personal Information Protection (CISP-PIP)" qualification of the China Cybersecurity Review Technology and Certification Center.

 

Dr. Zhifeng Zheng

Zheng Zhifeng, J.D., Postdoctoral Fellow, Associate Professor of School of Civil and Commercial Law at Southwest University of Political Science and Law, Vice President of Institute of Cyberspace Governance, Director of Legal Research Center for Autonomous Driving at Institute of Artificial Intelligence Law, Member of Chongqing Expert Committee on Informatization Development, Member of Chongqing Expert Committee on Autonomous Driving Road Test Management, Expert Advisor on Public Policy Research for Baidu, Part-time Researcher at Tencent Research Institute,  Guest Researcher at Guizhou Big Data Policy and Legal Innovation Research Center, and Distinguished Researcher of Digital Rule of Law Research Institute at East China University of Political Science and Law. Research interests: AI and law, civil and commercial law.

 

Host

Shenzhen Research Institute of Big Data (SRIBD)

China Society of Image and Graphics (CSIG)

 

Organizer

Tencent Research Institute

Shenzhen Data Trading Co. LTD

 

Co-organizer

Shenzhen Institute of Data Economics

The Open Islands open source community

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