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​​​​​​​​​​​​​​​​​​​​​ITU Workshop on Artificial Intelligence, Machine Learning and Security
Geneva, Switzerland, 21 January 2019

Contact: tsbevents@itu.int

Monday, 21 January 2019

08:30 - 09:30 Registration
09:15 - 10:00 Opening Remarks
  • Reinhard Scholl,  Deputy- Director, TSB, ITU [ Biography ]
  • Heung Youl Youm, ITU-T Study Group 17 Chairman [ BiographyOpening Remarks ]
  • Keynote presentationOverview of cybersecurity and AI, Andrew Gardner, Founder and  Leader, Center for Advanced Machine Learning (CAML), Symantec, USA [ Biography I Presentation ]
10:00 - 11:40 Session 1: Using AI and ML technologies for security – part 1
This session will further focus on identifying how AI and ML technologies can be leveraged to improve the cyber defence capabilities, including various use cases.  
Session Chair: Zhaoji Lin , ZTE, China [ Biography ​]    
  •  ​Application of AI on APT defense, Tian Tian, APT Project Manager, ZTE, China [ Biography ​I Abstract ​I Presentation ​]
  • Toward the automation of cybersecurity operations using machine learning techniques, Takeshi Takahashi, Research Manager, NICT, Japan [ Biography I  Abstract I Presentation ]
  • Customer privacy enhancement by using machine learning technology, ​Joong-Gunn Park, ​Head of core network R&D, SK Telecom, Korea (Remote) [ Biography I Abstract ​]
  • Cyber threats for telecommunications network and how does AI change that, Mikko Karikytö, Head of  Network Security, Ericsson [ Biography I Abstract ]
  • CyberCop: AI is the cyber warrior, Neil Sahota, Master Inventor and World Wide Business Development Leader​, IBM [ Biography I AbstractPresentation ​]​
11:40 - 12:00 Coffee Break
12:00 - 13:00
Session 2: Security threats and privacy risks of AI and ML applications 
This session will aim to identify security threats and privacy risks of AI and ML applications, and discuss how such risks can be mitigated .  
Session Chair: Arnaud Taddei, Director, Standards and Architectures, Digital Service Providers, Symantec, USA [ Biography ]
  • Challenges for transparent and trustworthy machine learning, Vanessa Bracamonte, KDDI Researcher, Japan (Remote) [ Biography I Presentation ]
  • The impact of AI on life cycles processes, Antonio Kung, CEO, Trialog, France [ Biography ​I Presentation ]
  • Online fraud detection with AI, Yanhui Wang, Manager, Detection of Fraud Department, 360 Technology, China ​[ Biography I Presentation ​]                        
13:00 - 14:00 Lunch Break
14:00 - 15:40 Session 3: Using AI and ML technologies for security – part 2
This session will further focus on identifying how AI and ML technologies can be leveraged to improve the cyber defence capabilities, including various use cases.
Session Chair: Yutaka Miyake, Senior Manager, Technology Strategy Department, KDDI Research Inc [ Biography ]          
15:40 - 16:00​ ​Coffee Break
16:00 - 17:15
Session 4: Panel discussion – Future directions for standardization activity
This session will identify future directions that ITU-T SG17 needs to study for standardization activities on AI, ML and security, i.e., to identify standard gaps on various specific security and privacy controls to address identified threats and risks, to suggest potential ways forward to develop technical Recommendations to fill those gaps, and to identify stakeholders with whom SG17 will collaborate in the future.
Session Chair: Jae Hoon Nah, ETRI, Korea [ Biography ]
  • AI/ML and security standardization, Zhaoji Lin, ICT Security Standardization Director, Technical Planning Department, ZTE Corporation, China  [ Biog​​​​raphy I Presentation ]
  • Arnaud Taddei, Director, Standards and Architectures, Digital Service Providers, Symantec, USA -WP3/17 [ Biography ]
  • Toward AI-b​ased fraud detection, Seongbok Baik, Research Scientist, Division of Network Infrastructure Innovation, KT Infra R&D Laboratory - ITU-T FG-ML5G [ Biography  Abstract I Presentation ]​
  •  Wael William Diab,  ISO/IEC JTC 1/SC 42 ​[ Biography I Abstract ]
17:15 - 17:30 Closing
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