Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Discover opportunities for applied AI
Organizations that successfully apply AI innovate and compete more effectively. How is AI transforming your business?
Be a part of the program—apply to speak by October 16.
Alina Matyukhina

Alina Matyukhina
Cybersecurity Researcher, Canadian Institute for Cybersecurity

Website

Alina Matyukhina is a cyber security researcher and 3rd-year PhD candidate at Canadian Institute for Cybersecurity (CIC). Her research work focuses on applying machine learning, computational intelligence, and data analysis techniques to design innovative security solutions. Before joining CIC, she worked as a research assistant at Swiss Federal Institute of Technology where she took part in cryptography and security research projects. Both her B.S. and M.S. was completed in Math and IT. Alina is a member of the Association for Computing Machinery, the IEEE Computer Society. Alina is presenting her research at several security and software engineering conferences including HackFest, IdentityNorth, ISACA Security & Risk, Droidcon SF, and PyCon Canada.

Sessions

2:40pm3:20pm Thursday, April 18, 2019
Case Studies, Machine Learning
Location: Sutton South
Secondary topics:  AI case studies, Computer Vision, Ethics, Privacy, and Security, Models and Methods, Reinforcement Learning
Alina Matyukhina (Canadian Institute for Cybersecurity)
Machine learning models are often susceptible to adversarial deception of their input at test time, which is leading to a poorer performance. In this session we will investigate the feasibility of deception in source code attribution techniques in real world environment. This session will present attack scenarios on users identity in open-source projects and discuss possible protection methods. Read more.