Claudia Eckert (computer scientist)

Not to be confused with Claudia Eckert (engineer).
Eckert in 2015

Claudia Eckert (born 1959) is a German computer scientist specializing in middleware, computer security, malware, and the use of machine learning techniques to detect malware. She is managing director of the Fraunhofer Institute for Applied and Integrated Security [de] in Garching, Germany (near Munich),[1] and professor and chair for security in computer science in the School of Computation, Information and Technology of the Technical University of Munich.[2]

Education and career

Eckert was born in 1959 in Duisburg. After studying computer science at the University of Bonn,[3] she completed a Ph.D. in 1993 at the Technical University of Munich, with the dissertation Konzepte und Verfahren zur Konstruktion sicherer, verteilter Systeme.[4]

After a professorship at the University of Bremen,[3] she became chair for IT security at the Technische Universität Darmstadt in 2001, and headed the Fraunhofer Institute for Secure Information Technology [de] in Darmstadt from 2001 to 2011. In 2008 she moved to Munich, as professor for IT security at the Technical University of Munich and head of the Fraunhofer Institute for Applied and Integrated Security.[2]

Recognition

Eckert is a member of acatech, the German Academy of Science and Engineering,[5] and of the Bavarian Academy of Sciences and Humanities.[6]

She received the Bavarian Order of Merit in 2021.[7] In 2022, Manager Magazine named Eckert to their Hall of Fame of German Research.[8]

Selected publications

  • Müller, Sascha; Katzenbeisser, Stefan; Eckert, Claudia (2008), "Distributed attribute-based encryption", in Lee, Pil Joong; Cheon, Jung Hee (eds.), Information Security and Cryptology – ICISC 2008, 11th International Conference, Seoul, Korea, December 3–5, 2008, Revised Selected Papers, Lecture Notes in Computer Science, vol. 5461, Springer, pp. 20–36, doi:10.1007/978-3-642-00730-9_2, ISBN 978-3-642-00729-3
  • Xiao, Huang; Biggio, Battista; Brown, Gavin; Fumera, Giorgio; Eckert, Claudia; Roli, Fabio (2015), "Is feature selection secure against training data poisoning?", in Bach, Francis R.; Blei, David M. (eds.), Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015, JMLR Workshop and Conference Proceedings, vol. 37, JMLR.org, pp. 1689–1698
  • Kolosnjaji, Bojan; Zarras, Apostolis; Webster, George D.; Eckert, Claudia (2016), "Deep learning for classification of malware system call sequences", in Kang, Byeong Ho; Bai, Quan (eds.), AI 2016: Advances in Artificial Intelligence – 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5–8, 2016, Proceedings, Lecture Notes in Computer Science, vol. 9992, Springer, pp. 137–149, doi:10.1007/978-3-319-50127-7_11, ISBN 978-3-319-50126-0
  • Kolosnjaji, Bojan; Demontis, Ambra; Biggio, Battista; Maiorca, Davide; Giacinto, Giorgio; Eckert, Claudia; Roli, Fabio (2018), "Adversarial malware binaries: evading deep learning for malware detection in executables", 26th European Signal Processing Conference, EUSIPCO 2018, Roma, Italy, September 3–7, 2018, IEEE, pp. 533–537, arXiv:1803.04173, doi:10.23919/EUSIPCO.2018.8553214, ISBN 978-9-0827-9701-5

References

  1. ^ About Fraunhofer AISEC, Fraunhofer Institute for Applied and Integrated Security, retrieved 2024-03-09
  2. ^ a b "Prof. Dr. Claudia Eckert", Chair of IT Security, TUM School of Computation, Information and Technology, Technical University of Munich, retrieved 2024-03-09
  3. ^ a b Lebenslauf (PDF), Einstein Foundation Berlin, archived from the original (PDF) on 2015-06-04
  4. ^ Claudia Eckert at the Mathematics Genealogy Project
  5. ^ Claudia Eckert, acatech, retrieved 2024-03-09
  6. ^ "Prof. Dr. Claudia Eckert", Mitglieder, Bavarian Academy of Sciences and Humanities, retrieved 2024-03-09
  7. ^ Order of Merit for TUM members, Technical University of Munich, 13 July 2021, retrieved 2024-03-09
  8. ^ Claudia Eckert in Hall of Fame berufen, Technical University of Munich, 24 October 2022, retrieved 2024-03-09