通知公告
当前位置: 网站首页 -> 通知公告 -> 正文

9001cc金沙以诚为本|诚信·官网邀请专家线上学术讲座

发布日期:2022-08-09     点击量:

应9001cc金沙以诚为本|诚信·官网石瑞生副教授邀请,Indiana University BloomingtonXiaoFeng Wang教授将于815日(星期一)作线上学术报告。欢迎感兴趣的师生踊跃参加!

报告时间:8月15日(星期一)9:20—10:10

腾讯会议号:683-237-918

XiaoFeng Wang (Indiana University Bloomington)

Title:  Confidential Computing: Challenges Today and Opportunities Tomorrow

Abstract:

The rampage of incessant cyber attacks have caused the disclosure of billions of users’ private data, shaking the Internet to its core. In response, various data privacy laws and regulations have emerged, forcing the industry to change their practice and bringing the demand for large-scale secure computing to the spotlight. Such a demand, however, cannot be met by the state-of-the-art cryptographic techniques, even with decades of effort, due to the overheads (speed, bandwidth consumption) they incur. To narrow the gap, recent years have seen rapid progress in hardware based trusted execution environments (TEE), such as Intel SGX, AMD SEV and ARM TrustZone, which enable efficient computation on encrypted data within a secure enclave established by a trusted processor.  In this talk, I will present our research on understanding and addressing the security challenges in this new secure computing paradigm and enhancing its design to achieve scalability, for the purpose of supporting accelerated machine learning.  Further I will present the big questions that need to be answered in the area and introduce our genome privacy competition as a synergic activity that helps move the science in this area forward.

Bio:

Dr. XiaoFeng Wang is a James H. Rudy Professor of Computer Science and Engineering at Indiana University and an IEEE Fellow. At IU, he is also a Co-Director of Center for Security and Privacy in Informatics, Computing and Engineering, and the Director of the Master of Science in Secure Computing (MSSC) program.

Dr. Wang serves as the Director and leading PI of Center for Distributed Confidential Computing (CDCC), a Frontiers Project in Secure and Trustworthy Computing funded by the National Science Foundation. The project is a multi-institution effort, involving faculty from IU (Lead), CMU, Duke, OSU, Penn State, Purdue, Spelman, UIUC and Yale. The center aims at laying the technological foundations for practical data-in-use protection based on Trusted Execution Environments (TEE) over today and tomorrow’s cloud and edge platforms, which is critical to the advance of AI and data science.

Dr. Wang is the Chair of ACM Special Interest Group on Security, Audit and Control (SIGSAC), and was also TPC Co-Chair of the ACM Conference on Computer and Communications Security (CCS), the ACM’s flagship security and privacy conference, during 2018 and 2019. In the past 20 years, Dr. Wang has been working on a broad range of research topics in systems security and data privacy. He is considered to be one of the most prominent systems security and privacy researchers, a top author according to online statistics such as CSRankings, System Security Circus (Eurecom), and Top Authors, the Systems Cirus (EPFL). Dr. Wang is known for his high-impact research on security analysis of real-world systems and biomedical data privacy. Particularly, the projects he led on side-channel analysis and mitigation, payment and single-sign-on API integrations, Android and iOS security and IoT protection have changed the way the industry built computing systems. Also he is a pioneer researcher on human genome privacy and a co-founder of the iDASH Genome Privacy Competition that contributes to reducing the gap between security and cryptography research and real-world demands for biomedical data sharing and computing protection. More recently, he is actively working on TEE-based Data-in-Use protection for supporting AI, Trustworthy AI, and application of AI technologies (such as NLP and deep learning) to protect computing systems, LTE/5G networks in particular.

For his work, Dr. Wang has received numerous awards, including Award for Outstanding Research in Privacy Enhancing Technologies (the PET Award), Best Practical Paper Award at the 32nd IEEE Symposium on Security and Privacy (IEEE S&P Oakland), and two Distinguished Paper Awards at the 26th Network and Distributed System Security Symposium (NDSS). His work has been extensively reported by public media, including CNN, MSNBC, Forbes, Slashdot, Nature News, etc. Dr. Wang’s research has been supported by NSF, NIH, ARO, IARPA, and other federal funding agencies and industry. Since joining IU in 2004, Dr. Wang has been serving as PI on research projects totaling nearly $23 million (by 2022).



版权所有 © 北京邮电大学9001cc金沙以诚为本|诚信·官网    地址:北京市海淀区西土城路10号9001cc金沙以诚为本|诚信·官网    邮编:100876