Khoury College of Computer and Information Science
Email : email@example.com
I am a second year Computer Science PhD student advised by Prof. Alina Oprea
. My main research topic is adversarial machine learning.
Currently I am studying the effect of adversarial attacks against deep neural networks
in cyber security and self-driving cars domains. I am part of the Cybersecurity and Privacy Institute at Northeastern and
I am also a member of the Network and Distributed Systems Security Lab (NDS2
Before joining Northeastern I received my BS degree in Applied Mathematics and Computer Science from Belarusian State University (BSU), where
I was affiliated with Mathematical Modeling and Data Analysis Department. My research focus included design of hedging algorithms based on derivative contracts. Additionally, I was a part of Research Institute of Applied Mathematics and Information Technology Problems, where
I participated in project for credit rankings estimation and evaluation of national enterprises using mathematical, statistical, econometric methods and
Adversarial Examples for Deep Learning Cyber Security Analytics
Alesia Chernikova and Alina Oprea
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction
Alesia Chernikova, Alina Oprea, Cristina Nita-Rotaru and Baekgyu Kim
IEEE Workshop on the Internet of Safe Things 2019.
Hedging algorithms based on interest-rate swaps.
In the 70th undergraduate, graduate and postgraduate students scientific
conference of Belarusian State University (vol. 1, pp. 242 – 245)