Put AI to Work
April 15-18, 2019
New York, NY
Alina Matyukhina

Alina Matyukhina
Cybersecurity Researcher, Canadian Institute for Cybersecurity

Website

Alina Matyukhina is a cybersecurity researcher and PhD candidate at the Canadian Institute for Cybersecurity (CIC) at the University of New Brunswick. Her research focuses on applying machine learning, computational intelligence, and data analysis techniques to design innovative security solutions. Previously, she was a research assistant at the Swiss Federal Institute of Technology, where she took part in cryptography and security research projects. Alina is a member of the Association for Computing Machinery and the IEEE Computer Society. She has spoken at several security and software engineering conferences, including HackFest, IdentityNorth, ISACA Security & Risk, Droidcon SF, and PyCon Canada.

Sessions

2:40pm–3:20pm Thursday, April 18, 2019
Adversarial machine learning in digital forensics
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)
Average rating: ****.
(4.00, 2 ratings)
Machine learning models are often susceptible to adversarial deception of their input at test time, which leads to poorer performance. Alina Matyukhina investigates the feasibility of deception in source code attribution techniques in real-world environments and explores attack scenarios on users' identities in open source projects—along with possible protection methods. Read more.