Faculty
2025: Werner-von-Siemens-Fellow
2025: ERC Starting Grant
2024: GI Junior-Fellow
2024: Busy Beaver Award "Differential Privacy: Mathematical Foundations and Applications in Machine Learning“, Saarland University
Franziska Boenisch is a tenure-track faculty member at the CISPA Helmholtz Center for Information Security. At CISPA, she co-leads the SprintML Lab (Secure, Private, Robust, Interpretable, and Trustworthy Machine Learning), where her research focuses on advancing trustworthy machine learning. Prior to joining CISPA, she was a Postdoctoral Fellow at the Vector Institute for Artificial Intelligence, working under the supervision of Prof. Dr. Nicolas Papernot. She received her PhD from Freie Universität Berlin, where she also served as a research associate at the Fraunhofer Institute for Applied and Integrated Security (AISEC).
Conference on Neural Information Processing Systems (NeurIPS)
CoRR Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders.
International Conference on Learning Representations (ICLR)
Annual Meeting of the Association for Computational Linguistics (ACL) On the Privacy Risk of In-context Learning
Privacy Enhancing Technologies Symposium (PETS) Individualized PATE: Differentially Private Machine Learning with Individual Privacy Guarantees.
Privacy Enhancing Technologies Symposium (PETS) A Unified Framework for Quantifying Privacy Risk in Synthetic Data
IEEE European Symposium on Security and Privacy (EuroS&P) Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation
IEEE European Symposium on Security and Privacy (EuroS&P) When the Curious Abandon Honesty: Federated Learning Is Not Private
International Conference on Learning Representations (ICLR) Sentence Embedding Encoders are Easy to Steal but Hard to Defend
Conference on Neural Information Processing Systems (NeurIPS) Have it your way: Individualized Privacy Assignment for DP-SGD