Researcher

Pavel Laskov

Pavel Laskov is a computer scientist who studies the security of machine learning and uses learning methods to detect cyberattacks. Born in Moscow in 1971, he completed a PhD in computer science at the University of Delaware in 2001, worked at Fraunhofer FIRST in Berlin, held a Heisenberg fellowship at the University of Tübingen, and led a threat-analysis team at Huawei's European Research Center in Munich. In 2012 he coauthored "Poisoning Attacks against Support Vector Machines" with Battista Biggio and Blaine Nelson, and the paper won the ICML Test of Time Award in 2022. He is a professor at the University of Liechtenstein, where he has headed the Hilti Chair of Data and Application Security since 2018.

Now at
University of Liechtenstein
Badges

Timeline

  1. By 2001

    Moscow to a Delaware PhD

    Born in Moscow in 1971, he earns a first degree in computer and system engineering at the Moscow Institute of Radio, Electronics and Automation. He then takes a master's degree and, in 2001, a PhD in computer science at the University of Delaware.

  2. 2001–2009

    Fraunhofer FIRST in Berlin

    From 2001, he works at the Fraunhofer Institute FIRST in Berlin as a project and research group head in the Intelligent Data Analysis department. He leads MIND (Machine Learning for Intrusion Detection), a project funded by the Federal Ministry of Education and Research that uses machine learning to find attacks in Internet traffic.

  3. 2009–2014

    Heisenberg Fellow at Tübingen

    In April 2009, the German Research Foundation awards him a Heisenberg fellowship, which lets him work at the Wilhelm Schickard Institute for Computer Science at the University of Tübingen. He is a Heisenberg Fellow at Tübingen until 2014.

  4. 2012

    Poisoning attacks on SVMs

    In 2012, he coauthors "Poisoning Attacks against Support Vector Machines" with Battista Biggio and Blaine Nelson, a paper in the proceedings of the 29th International Conference on Machine Learning. It describes attacks that inject specially crafted training data to raise an SVM's test error, built on a gradient ascent strategy.

  5. 2014–2018

    Threat analysis at Huawei

    From 2014 to 2018, he is Principal Engineer at the Huawei European Research Center in Munich, where he heads the "Big Data Threat Analysis" team.

  6. 2018

    Hilti Chair in Liechtenstein

    In 2018, he becomes a Full Professor at the University of Liechtenstein and head of its Hilti Chair of Data and Application Security.

  7. 2022

    ICML Test of Time Award

    In 2022, ICML gives its Test of Time Award to "Poisoning Attacks against Support Vector Machines," his paper with Battista Biggio and Blaine Nelson. The awards committee calls it one of the earliest and most impactful papers on poisoning attacks.

  8. As of October 2026

    AI security in Liechtenstein

    He is Professor for Data and Application Security at the University of Liechtenstein and Academic Director of the MSc Information Systems at the Liechtenstein Business School, and his chair investigates attacks against AI systems and their countermeasures. In November 2025, he co-organizes Dagstuhl Seminar 25461 on the security and privacy of large language models.

Career

  1. Since 2018University of LiechtensteinFull Professor
  2. 2014–2018HuaweiPrincipal Engineer
  3. 2009–2014University of TübingenHeisenberg Fellow
  4. 2001–2009Fraunhofer-GesellschaftProject and Research Group Head

Education

  1. 2001University of DelawareMaster's degree
  2. Moscow Institute of Radio, Electronics and AutomationDegree in computer and system engineering

Sources and credits

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  1. Pavel Laskov, Ph.D - News - Technology Park Berlin Adlershof adlershof.de. Checked 22 October 2026.
  2. Pavel Laskov | Universität Liechtenstein uni.li. Checked 22 October 2026.
  3. Poisoning Attacks against Support Vector Machines (arXiv:1206.6389) arxiv.org. Checked 22 October 2026.
  4. #ICML2022 Test of Time award announced - AIhub aihub.org. Checked 22 October 2026.
  5. ICML Award Test of Time Award icml.cc. Checked 22 October 2026.
  6. Dagstuhl Seminar 25461: Security and Privacy of Large Language Models dagstuhl.de. Checked 22 October 2026.