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 ist Tenure-Track Faculty am CISPA Helmholtz-Zentrum für Informationssicherheit. Am CISPA ist sie Co-Leiterin des SprintML Lab (Secure, Private, Robust, Interpretable, and Trustworthy Machine Learning), in dem sie zur Weiterentwicklung von vertrauenswürdigem Machine Learning forscht. Zuvor war sie Postdoctoral Fellow am Vector Institute for Artificial Intelligence, betreut von Prof. Dr. Nicolas Papernot. Vor ihrem Wechsel an das Vector Institute war sie Doktorandin an der Freien Universität Berlin sowie wissenschaftliche Mitarbeiterin am Fraunhofer-Institut für Angewandte und Integrierte Sicherheit (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