1. Palmer, G. (2023, May 10). A Road Map for Digital Forensic Research. Technical Report DTR-T001-01 FINAL, Digital Forensics Research Workshop. Available online: https://dfrws.org/wp-content/uploads/2019/06/2001_USA_a_road_map_for_digital_forensic_research.pdf.
2. Schleimer, S., Wilkerson, D.S., and Aiken, A. (2023, May 10). Winnowing: Local Algorithms for Document Fingerprinting. Available online: https://theory.stanford.edu/~aiken/publications/papers/sigmod03.pdf.
3. Abuhamad, M., AbuHmed, T., Mohaisen, A., and Nyang, D. (2018, January 15–19). Large-Scale and Language-Oblivious Code Authorship Identification. Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, Toronto, ON, Canada.
4. Zhen, L., Chen, G., Chen, C., Zou, Y., and Xu, S. (2022, January 25–27). RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation. Proceedings of the 2022 IEEE 44th International Conference on Software Engineering (ICSE), Pittsburgh, PA, USA.
5. Holland, C., Khoshavi, N., and Jaimes, L.G. (2022, January 18–20). Code authorship identification via deep graph CNNs. Proceedings of the 2022 ACM Southeast Conference (ACM SE ‘22), Virtual.