Source Code Authorship Identification
Researchers study the task of source code authorship identification for several decades. This task is solved in intellectual property cases, plagiarism detection and identification of authors of malicious code. However, methods applied in this task are far from results that we see in the same problem in natural language.
At the seminar, we will discuss recent development in this area.
Speaker: Egor Bogomolov.
Presentation language: Russian.
Date and time: March 13th, 20:00-21:30.
Location: Times, room 204.
Videos from previous seminars are available at http://bit.ly/MLJBSeminars
- About seminars
22 May 2019An Empirical Study on Quality of Android Applications written in Kotlin language
15 May 2019Who Should Make Decision on this Pull Request? Analyzing Time-Decaying Relationships and File Similarities for Integrator Prediction
8 May 2019Maybe Deep Neural Networks are the Best Choice for Modeling Source Code
24 April 2019Siamese: scalable and incremental code clone search via multiple code representations
17 April 2019An Approach and Benchmark to Detect Behavioral Changes of Commits in Continuous Integration