Keynote Speakers

Title: In-Network Computing: Applications, Challenges, and Future Directions

With the recent availability of data-plane programmable switches and programmable languages such as P4, researchers can design and implement their innovative ideas in the pipeline of a hardware switch to process packets at high rates. Traditionally, the operations performed on packets in the pipeline are simple network-related tasks such as switch/routing table lookups, Layer-4 firewall, load balancer, etc. However, recently more and more researchers are interested in performing complex computation work in the pipeline to achieve various benefits. Such benefits include network traffic reduction, increased throughputs and reduced latency for distributed applications, and others.
Although the recent in-network computing paradigm has many potentials, currently its applications are severely limited by the stringent constraints imposed by the high-speed pipeline. In this talk, I will present the applications that have been developed in our in-network computing project and show their real performances measured on P4 hardware switches. I will also share our experiences gathered in this three-year project andpoint out some directions that are worth exploring in the future.

Dr. Shie-Yuan Wang is a full professor of the department of computer science at National Chiao Tung University (NCTU), Taiwan.He received his master and Ph.D. degrees in computer science from Harvard University in 1997 and 1999, respectively.His research interests include Internet of things, P4 programmable networks, software-defined networks, cloud and edge computing, networks security, wireless networks.He received the “Outstanding Information Technology Elite Award” of Taiwan government in year 2012, which was bestowed by the Vice President of Taiwan government. He authors the NCTUns/EstiNet network simulator and emulator, which is a famous tool used by many researchers in the world. In year 2012, the EstiNet tool won the “Outstanding Information Technology Application and Product Award” of Taiwan government, which was bestowed by the Minister of Economic Affairs of Taiwan government.In year 2014, Dr. Wang received the “President Award of Tokyo University of Science” from the President Akira Fujishima for his contributions in computer networking researches. Dr. Wang has published many high-quality journal and conference papers in the fields of computer networks. He has served as general chairs and technical program co-chairs and members for many prestigious IEEE conferences such as ICC, GLOBECOM, NOMS, PIMRC, VTC, ISCC, etc.He is an IEEE Senior Member. Currently, he is serving as Associate Editor for ACM Computing Surveys.

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Title: Trustworthy Machine Learning: Past, Present, and Future

ABSTRACT. Fueled by massive amounts of data, models produced by machine-learning (ML) algorithms, especially deep neural networks (DNNs), are being used in diverse domains where trustworthiness is a concern, including automotive systems, finance, healthcare, natural language processing, and malware detection. Of particular concern is the use of ML algorithms in cyber-physical systems (CPS), such as self-driving cars and aviation, where an adversary can cause serious consequences. Interest in this area of research has simply exploded. In this work, we will cover the state-of-the-art in trustworthy machine learning, and then cover some interesting future trends.

Biography: Somesh Jha received his B.Tech from Indian Institute of Technology, New Delhi in Electrical Engineering. He received his Ph.D. in Computer Science from Carnegie Mellon University under the supervision of Prof. Edmund Clarke (a Turing award winner). Currently, Somesh Jha is the Lubar Professor in the Computer Sciences Department at the University of Wisconsin (Madison). His work focuses on analysis of security protocols, survivability analysis, intrusion detection, formal methods for security, and analyzing malicious code. Recently, he has focussed his interested on privacy and adversarial ML (AML). Somesh Jha has published several articles in highly-refereed conferences and prominent journals. He has won numerous best-paper and distinguished-paper awards. Prof Jha also received the NSF career award. Prof. Jha is the fellow of the ACM and IEEE.

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