Raphael Labaca Castro M.Sc.

INF 3 Institut für Technische Informatik
Gebäude Carl-Wery-Str. 18, Zimmer 1604
+49 89 6004 7317

Raphael Labaca Castro M.Sc.


Interests & Publications

PhD researcher working on the security of machine learning models. Interested on Adversarial ML & AI Security.

For contact information, see my personal website: rapha.ai


Adversarial ML

  • R. Labaca Castro, L. Muñoz González, F. Pendlebury, G. Dreo Rodosek, F. Pierazzi, L. Cavallaro: Realizable Universal Adversarial Perturbations for Malware. arXiv:2102.06747, February 2, 2022
  • R. Labaca Castro, S. Franz, G. Dreo Rodosek: AIMED-RL: Exploring Adversarial Malware Examples with Reinforcement Learning. Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD) Bilbao, Spain, September 15, 2021
  • R. Labaca Castro, B. Biggio, G. Dreo Rodosek: Attacking Malware Classifiers by Crafting Gradient-Attacks that Preserve Functionality. Poster. ACM 26th Conference on Computer and Communications Security (CCS), London, United Kingdom, November 12, 2019
  • R. Labaca Castro, C. Schmitt, G. Dreo Rodosek: AIMED: Evolving Malware with Genetic Programming to Evade Detection. IEEE 18th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Rotorua, New Zealand, August 6, 2019 
  • R. Labaca Castro, C. Schmitt, G. Dreo Rodosek: Training GANs to Generate Adversarial Examples Against Malware Classification. Poster. IEEE 40th Symposium on Security and Privacy (S&P), San Francisco, CA, USA, May 20, 2019 
  • R. Labaca Castro, C. Schmitt, G. Dreo Rodosek: ARMED: How Automatic Malware Modifications Can Evade Static Detection? IEEE 5th International Conference on Information Management (ICIM), Cambridge, UK, March 24, 2019. Best Presentation Award
  • R. Labaca Castro, G. Dreo Rodosek: Black Box Attacks using Adversarial Samples against Machine Learning Malware Classification to Improve Detection. IFIP 12th International Conference on Autonomous Infrastructure, Management, and Security (AIMS), Munich, Germany, June 5, 2018


Network Security

  • R. Poschinger, N. Rodday, R. Labaca Castro and G. Dreo Rodosek: OpenMTD: A Framework for Efficient Network-Level MTD Evaluation. ACM 7th Workshop on Moving Target Defense co-located with ACM 27th Conference on Computer and Communications Security (MTD@CCS), Orlando, United States, November 9, 2020
  • N. Rodday, R. Labaca Castro, K. Streit and G. Dreo Rodosek: Evaluating TCP Connection Healthiness. IEEE 29th International Telecommunication Networks and Applications Conference (ITNAC), Auckland, New Zealand, November 29, 2019
  • K. Streit, R. Labaca Castro, N. Rodday, G. Dreo Rodosek: Topology Update Algorithm for Wireless Networks. IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems Workshops (MASSW), Monterey, CA, USA, November 7, 2019
  • C. Dietz, R. Labaca Castro, J. Steinberger, C. Wilczak, M. Antzek, A. Sperotto, A. Pras: IoT-Botnet Detection and Isolation by Access Routers. IEEE 9th International Conference on the Network of the Future (NoF), Poznan, Poland, November 20, 2018