Skip to content
Man looking at item at a store
Lukas Burkhalter

PhD Student

Lukas Burkhalter

I am fourth year Ph.D. student in the Applied Cryptography Group and the Privacy Preserving Systems Lab at ETH Zurich, where I am advised by Prof. Kenny Paterson, Prof. Friedemann Mattern, and Dr. Anwar Hithnawi. I graduated from ETH Zurich in 2017 with a Master of Science in Computer Science. Before that, I did my B.Sc. studies at ETH Zurich. I design and build privacy-preserving systems that use cryptography to give users more control on how their data is shared and processed.

Awards

  • Microsoft Research EMEA PhD Award
  • ETH Medal for Master Thesis

Talks

TimeCrypt

  • ETH Zurich, Systems Lunch Seminar
  • Intel, Santa Clara, CA
  • USENIX NSDI, Santa Clara, CA, [Video, Slides]
  • UC Berkeley, CA, RISE Security Seminar
  • UC Berkeley, CA, NetSys Lunch Seminar

Teaching:

  • Informatik II für D-ITET (2018-2020)
  • Informatik I für BAUG (2018)

Selected Publications:

Thumbnail of Zeph: Cryptographic Enforcement of End-to-End Data Privacy.

Zeph: Cryptographic Enforcement of End-to-End Data Privacy. Github

Lukas Burkhalter*, Nicolas Küchler*, Alexander Viand, Hossein Shafagh, Anwar Hithnawi

USENIX OSDI 2021. Online.

Thumbnail of Droplet: Decentralized Authorization and Access Control for Encrypted Data Streams.

Droplet: Decentralized Authorization and Access Control for Encrypted Data Streams. Paper Slides Github Website Video

Hossein Shafagh, Lukas Burkhalter, Sylvia Ratnasamy, Anwar Hithnawi

USENIX Security Symposium 2020. Online.

Thumbnail of TimeCrypt: Encrypted Data Stream Processing at Scale with Cryptographic Access Control.

TimeCrypt: Encrypted Data Stream Processing at Scale with Cryptographic Access Control. Paper Slides Github Website Video

Lukas Burkhalter, Anwar Hithnawi, Alexander Viand, Hossein Shafagh, Sylvia Ratnasamy

USENIX NSDI 2020. Santa Clara, California, USA.

Thumbnail of Robust Secure Aggregation for Privacy-Preserving Federated Learning with Adversaries

Robust Secure Aggregation for Privacy-Preserving Federated Learning with Adversaries Paper

Lukas Burkhalter, Alexander Viand, Matthias Lei, Hossein Shafagh, Anwar Hithnawi

Privacy Preserving Machine Learning Workshop (PPML), 2019.

Thumbnail of Towards Blockchain-based Auditable Storage and Sharing of IoT Data.

Towards Blockchain-based Auditable Storage and Sharing of IoT Data. Paper

Hossein Shafagh, Lukas Burkhalter, Anwar Hithnawi

ACM Cloud Computing Security Workshop (CCSW), Dallas, TX, USA, 2017.

Thumbnail of Secure Sharing of Partially Homomorphic Encrypted IoT Data.

Secure Sharing of Partially Homomorphic Encrypted IoT Data. Paper

Hossein Shafagh, Anwar Hithnawi, Lukas Burkhalter, Pascal Fischli, Simon Duquennoy

ACM SenSys 2017. Delft, Netherlands.