Email esteban.rivera@tum.de
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BFS-DAD

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Veröffentlichungen

  • Huch, Sebastian; Scalerandi, Luca; Rivera, Esteban; Lienkamp, Markus: Quantifying the LiDAR Sim-to-Real Domain Shift: A Detailed Investigation Using Object Detectors and Analyzing Point Clouds at Target-Level. IEEE Transactions on Intelligent Vehicles, 2023, 1-14 mehr…
  • Huch, Sebastian; Scalerandi, Luca; Rivera, Esteban; Lienkamp, Markus: S2R-DAD: Sim-to-Real Distribution-Aligned Dataset. (anderer Eintrag) mehr…

Externe Veröffentlichungen

Castelblanco, A., Rivera, E., Solano, J., Tengana, L., López, C., Ochoa,M. Dynamic face authentication systems: Deep learning verification for camera close-Up and head rotation paradigms, Computers & Security, Volume 115, 2022, 102629, ISSN 0167-4048, https://doi.or/10.1016/j.cose.2022.102629.

Tengana, L., Solano, J., Castelblanco, A., Rivera, E., Lopez, C., Ochoa, M. (2021). Centy: Scalable Server-Side Web Integrity Verification System Based on Fuzzy Hashes. Detection of Intrusions and Malware, and Vulnerability Assessment. DIMVA 2021. Lecture Notes in Computer Science

Rivera, E., Castelblanco, A., Solano, J., Tengana, L., López, C., Ochoa,M. 2020. Risk-based Authentication Based on Network Latency Profiling. In Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security (AISec'20). Association for Computing Machinery, . https://doi.org/10.1145/3411508.3421377

Solano, J., López, C.,Rivera, E., Tengana, L. , Castelblanco, A., Ochoa,M. 2020. SCRAP: Synthetically Composed Replay Attacks vs. Adversarial Machine Learning Attacks against Mouse-based Biometric Authentication. In Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security (AISec'20).

Castelblanco, A., Solano, J., Lopez, C., Rivera, E., Tengana, L., & Ochoa, M. (2020). Machine Learning Techniques for Identity Document Verification in Uncontrolled Environments: A Case Study. Pattern Recognition, 12088, 271 - 281.

Solano, J.L., Tengana, L., Castelblanco, A., Rivera, E., Lopez, C., & Ochoa, M. (2020). A Few-Shot Practical Behavioral Biometrics Model for Login Authentication in Web Applications.

M. Lücking, E. Rivera, L. Kohout, C. Zimmermann, D. Polad and W. Stork, "A video-based vehicle counting system using an embedded device in realistic traffic conditions," 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), 2020, pp. 1-6, doi: 10.1109/WF-IoT48130.2020.9221094.