TRANSCEND

News

  • Dec 2023: Errata Corrige to the IEEE S&P 2022 publication
  • Nov 2021: The final version of Transcendent has been accepted to IEEE S&P 2022!
  • Oct 2020: We'll be presenting our preprint extending Transcend at CyberSec&AI

Access

Transcendent is publicly available on GitHub. Prior to migrating to GitHub, Transcendent was hosted privately on BitBucket, and its access was given to the following institutions (alphabetical order)
  1. Amazon Web Services
  2. Beijing Institute of Technology
  3. Beijing University of Posts and Telecommunications
  4. Chinese Academy of Sciences
  5. Columbia University
  6. ETH Zurich
  7. Edinburgh Napier University
  8. Fudan University
  9. Georgia Tech
  10. IDC
  11. Imperial College London
  12. Institute of Information Enigneering, Chinese Academy of Science
  13. National University of Defense Technology
  14. Northeastern University
  15. Northumbria University Newcastle,UK
  16. Sichuan University
  17. Simon Fraser University
  18. Southeast University
  19. Stony Brook University
  20. TU Braunschweig
  21. The Hong Kong Polytechnic University
  22. Tsinghua University
  23. UC Berkeley
  24. UC Santa Barbara
  25. United States Military Academy, West Point
  26. University of Birmingham
  27. University of Illinois Urbana-Champaign (UIUC)
  28. University of Oxford
  29. University of Reading
  30. University of Southern California
  31. VIT University
  32. Virginia Tech
  33. Waseda University
  34. Wuhan University
  35. Yonsei University
  36. Zhejiang University
  37. Zhejiang University of Technology

Papers

Transcending Transcend: Revisiting Malware Classification in the Presence of Concept Drift
Federico Barbero, Feargus Pendlebury, Fabio Pierazzi, and Lorenzo Cavallaro
IEEE S&P · 43rd IEEE Symposium on Security and Privacy, 2022
@inproceedings{barbero2022transcendent,
author = {Federico Barbero and Feargus Pendlebury and Fabio Pierazzi and Lorenzo Cavallaro},
title = {Transcending Transcend: Revisiting Malware Classification in the Presence of Concept Drift},
booktitle = {{IEEE} Symposium on Security and Privacy},
year = {2022},
}
Transcend: Detecting Concept Drift in Malware Classification Models
Roberto Jordaney, Kumar Sharad, Santanu K. Dash, Zhi Wang, Davide Papini, Ilia Nouretdinov, and Lorenzo Cavallaro
USENIX Sec · 26th USENIX Security Symposium, 2017
@article{barbero2020,
author = {Federico Barbero and Feargus Pendlebury and Fabio Pierazzi and Lorenzo Cavallaro},
title = {Transcending Transcend: Revisiting Malware Classification in the Presence of Concept Drift},
journal = {CoRR},
volume = {abs/2010.03856},
year = {2020},
url = {http://arxiv.org/abs/2010.03856},
eprint = {2010.03856},
archivePrefix = {arXiv}
}

Videos

Federico Barbero presents the work at IEEE Security & Privacy (Oakland) 2022.
Roberto Jordaney presents TRANSCEND at Usenix Security 2017.

People

  • Roberto Jordaney, Security Researcher, F-Secure
  • Federico Barbero, B.Sc. Student, King's College London
  • Feargus Pendlebury, Ph.D. Student, King's College London & Royal Holloway, University of London & The Alan Turing Institute
  • Zeliang Kan, Ph.D. Student, King's College London & University College London
  • Fabio Pierazzi, Lecturer (Assistant Professor), King's College London.
  • Kumar Sharad, Security Researcher, Barkhausen Institut.
  • Santanu K. Dash, Lecturer (Assistant Professor), Surrey University.
  • Zhi Wang, Lecturer (Assistant Professor), Nankai University.
  • Davide Papini, Cybersecurity System Engineer, Elettronica S.p.A.
  • Ilia Nouretdinov, Research Assistant, Royal Holloway, University of London.
  • Lorenzo Cavallaro, Full Professor of Computer Science, UCL