Froelicher, David

POSEIDON: Privacy-Preserving Federated Neural Network Learning

Sav, S., Pyrgelis, A., Troncoso-Pastoriza, J. R., Froelicher, D., Bossuat, J.-P., Sousa, J. S., & Hubaux, J.-P. (2021) · Proceedings 2021 Network and Distributed System Security Symposium

Privacy-Preserving Technologies in DataCryptography and Data Security

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Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets

Froelicher, D., Troncoso-Pastoriza, J. R., Sousa, J. S., & Hubaux, J.-P. (2020) · IEEE Transactions on Information Forensics and Security

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 59

Design Patterns for Securing LLM Agents against Prompt Injections

Beurer-Kellner, L., Buesser, B., Creţu, A.-M., Debenedetti, E., Dobos, D., Fabian, D., Fischer, M., Froelicher, D., Grosse, K., Naeff, D., et al. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

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