Privacy Preserving Systems Lab
We at the PPS Lab build, investigate, and research software systems for data privacy and data security. Our mission is to develop technologies that enable applications to safely and securely interact with users data while preserving individual's privacy and make it easy for developers to build and develop privacy preserving applications.
Projects
News
This award will foster a new collaboration with Google that aims to bring efficient and scheme-agnostic FHE support to the TensorFlow framework.
This grant aims at expanding our efforts to build an ecosystem for developing and deploying FHE applications.
Check the talk here and an extended version of the talk, ending with an interesting discussion on FHE tools development here.
This grant aims at expanding our efforts on end-to-end systems designs for data privacy.
Anwar Hithnawi got awarded the SNSF Ambizione grant to start the PPS Lab at ETH Zurich.
Publications
Ashwin Karthikeyan*, Ethan Kharitonov*, Kuldeep S. Meel, Anwar Hithnawi
Conference on Logic for Programming, Artificial Intelligence, and Reasoning (LPAR 2026)
Nikolay Avramov, Hidde Lycklama, Alexander Viand, Anwar Hithnawi
Preprint, arXiv:2609.11841
Ashwin Karthikeyan, Hengyu Liu, Kuldeep S. Meel, Ning Luo
IEEE Security and Privacy (Oakland) 2026.
Asra Ali, Jaeho Choi, Bryant Gipson, Shruthi Gorantala, Jeremy Kun, Wouter Legiest, Lawrence Lim, Alexander Viand, Meron Zerihun Demissie, Hongren Zheng
Preprint, arXiv:2508.11095
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy
Paper Slides GithubNicolas Küchler, Alexander Viand, Hidde Lycklama, Anwar Hithnawi
IEEE Security and Privacy (Oakland) 2025.
Roberta De Viti, Isaac Sheff, Noemi Glaeser, Baltasar Dinis, Rodrigo Rodrigues, Bobby Bhattacharjee, Anwar Hithnawi, Deepak Garg, Peter Druschel
USENIX Security 2025.
Hidde Lycklama*, Alexander Viand*, Nikolay Avramov, Nicolas Küchler, Anwar Hithnawi
Preprint, arXiv:2409.12055
Nicolas Küchler, Emanuel Opel, Hidde Lycklama, Alexander Viand, Anwar Hithnawi
IEEE Security and Privacy (Oakland) 2024.
Christian Knabenhans*, Alexander Viand*, Antonio Merino-Gallardo, Anwar Hithnawi
Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC '24)
Hidde Lycklama*, Lukas Burkhalter*, Alexander Viand, Nicolas Küchler, Anwar Hithnawi
IEEE Security and Privacy (Oakland) 2023.
VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?.
PaperJiawei Jiang, Lukas Burkhalter, Fangcheng Fu, Bolin Ding, Bo Du, Anwar Hithnawi, Bo Li, Ce Zhang
NeurIPS (Spotlight) 2022.
Hidde Lycklama, Nicolas Küchler, Alexander Viand, Emanuel Opel, Lukas Burkhalter, Anwar Hithnawi
ML Safety Workshop at NeurIPS 2022
Lukas Burkhalter*, Nicolas Küchler*, Alexander Viand, Hossein Shafagh, Anwar Hithnawi
USENIX OSDI 2021.
Alexander Viand, Patrick Jattke, Anwar Hithnawi
IEEE Security and Privacy (Oakland) 2021.
Droplet: Decentralized Authorization and Access Control for Encrypted Data Streams.
Paper Slides Github Website VideoHossein 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 VideoLukas Burkhalter, Anwar Hithnawi, Alexander Viand, Hossein Shafagh, Sylvia Ratnasamy
USENIX NSDI 2020.