Christian Knabenhans
Christian Knabenhans
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Verifiable Encodings for Secure Homomorphic Analytics
Providing integrity guarantees for Fully Homomorphic Encryption using Homomorphic Message Authentication Codes.
Sylvain Chatel
,
Christian Knabenhans
,
Apostolos Pyrgelis
,
Carmela Troncoso
,
Jean-Pierre Hubaux
CCS'24
arXiv
Code
Poster
Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning
Recent advancements in privacy-preserving machine learning are paving the way to extend the benefits of ML to highly sensitive data …
Hidde Lycklama
,
Alexander Viand
,
Nicolas Küchler
,
Christian Knabenhans
,
Anwar Hithnawi
USENIX'24
arXiv
Code
Verifiable Fully Homomorphic Encryption
Fully Homomorphic Encryption (FHE) is seeing increasing real-world deployment to protect data in use by allowing computation over …
Christian Knabenhans
,
Alexander Viand
,
Anwar Hithnawi
arXiv
Code
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