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Digital Trust and Security Seminar: Youcheng Sun

Dates:10 October 2023
Times:14:00 - 15:30
What is it:Seminar
Organiser:Digital Futures
How much:Free
Who is it for:University staff, External researchers, Adults, Age Friendly, Alumni, Current University students, General public, Post 16
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  • In group "(DF) Digital Trust and Security"
  • By Digital Futures

An Arms Race in Intellectual Property Protection of Deep Learning Models Seminar with Q&A and Networking

Date & Time: Tuesday 10th October 2023 | 14.00-15.30 (UK)

Venue: Alan Turing Building, The University of Manchester, Oxford Rd, Manchester, M13 9PL

Summary: Youcheng Sun will give a seminar titled 'An Arms Race in Intellectual Property Protection of Deep Learning Models', followed by a Q&A and networking.

Bio: Dr Youcheng Sun is a Lecturer from the Systems and Software Security group at The University of Manchester. He is also a member of Centre for Digital Trust and Society, Centre for Robotics and AI and Autonomy and Verification Network. Before joining The University of Manchester, he was a Lecturer at Queen's University Belfast and a postdoctoral researcher at University of Oxford. He obtained his PhD from Scuola Superiore Sant'Anna.

Youcheng's research interest is in the security and safety assurance of complex computing systems: AI, OS and concurrent systems. He is an expert in software security and safety assurance. In particular, he pioneered several techniques on the testing of AI software. His research has been funded by Google, Dstl (Defence Science and Technology Laboratory, UK) and NCSC (National Cyber Security Centre, UK) etc. In the past, Youcheng led the source code testing and verification work for two UK domestic airborne software projects, SECT-AIR and AUTOSAC. He was a member of the EU H2020 project SAFURE investigating safety and security assurance in the design of mixed-critical cyber-physical systems. Youcheng has a strong track record of publications on software engineering, formal verification, cyber-physical systems, robotics and AI safety in top-tier academic conferences and journals, including ICSE, ASE, CAV, TACAS, IEEE S&P (Oakland), NeurIPS, ICCV, ECCV, IJCAI, ICRA, IROS, RTSS, ACM TOSEM, ACM TECS, IEEE TR.

Price: Free

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