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 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: Encrypted Data Stream Processing at Scale with Cryptographic Access.
- 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
Zeph: Cryptographic Enforcement of End-to-End Data Privacy.
RoFL: Attestable Robustness for Secure Federated Learning
- Data Centric AI Workshop, ETH Zurich, [Video]
Teaching:
- Information Security Lab (2021)
- Informatik II für D-ITET (2018-2020)
- Informatik I für BAUG (2018)
Selected Publications:
RoFL: Attestable Robustness for Secure Federated Learning Paper Github
Lukas Burkhalter*, Hidde Lycklama*, Alexander Viand, Nicolas Küchler, Anwar Hithnawi
arXiv preprint, arXiv:2107.03311
Zeph: Cryptographic Enforcement of End-to-End Data Privacy. Paper Slides Github Video
Lukas Burkhalter*, Nicolas Küchler*, Alexander Viand, Hossein Shafagh, Anwar Hithnawi
USENIX OSDI 2021.
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 2020.
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.
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.
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.
Secure Sharing of Partially Homomorphic Encrypted IoT Data. Paper
Hossein Shafagh, Anwar Hithnawi, Lukas Burkhalter, Pascal Fischli, Simon Duquennoy
ACM SenSys 2017.