83 citations · 105 across the 25 of their papers we have counts for
6 papers · 1 filter
Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification
Carter Luck, Olive Franzese-McLaughlin, Elisaweta Masserova +3
Privacy-preserving machine learning auditing protocols allow auditors to assess models for properties such as accuracy or fairness, without revealing their internals or training da…
Asymptotic Optimality of the High-Dimensional Gaussian Mechanism and Improved Low-Dimensional Mechanisms for Differential Privacy
Yu Wei, Alexander Bienstock, Antigoni Polychroniadou
The additive noise mechanism is a foundational tool for differential privacy (DP) of -dimensional real-valued vector queries. The Gaussian mechanism, utilizing Gaussian noise, i…
Revisiting ML Training under Fully Homomorphic Encryption: Convergence Guarantees, Differential Privacy, and Efficient Algorithms
Yvonne Zhou, Mingyu Liang, Ivan Brugere +5
We present the first theoretical convergence analysis of machine learning training under fully homomorphic encryption (FHE), combined with a differentially private (DP) training al…
Scalable Secure Biometric Authentication without Auxiliary Identifiers
Alexander Bienstock, Daniel Escudero, Antigoni Polychroniadou +5
The prevalence of biometric authentication has been on the rise due to its ease of use and elimination of weak passwords. To date, most biometric authentication systems have been d…
TAPAS: Efficient Two-Server Asymmetric Private Aggregation Beyond Prio(+)
Harish Karthikeyan, Antigoni Polychroniadou
Privacy-preserving aggregation is a cornerstone for AI systems that learn from distributed data without exposing individual records, especially in federated learning and telemetry.…
ZKBoost: Zero-Knowledge Verifiable Training for XGBoost
Nikolas Melissaris, Antigoni Polychroniadou, Akira Takahashi +2
Gradient boosted decision trees, particularly XGBoost, are among the most effective methods for tabular data. As deployment in sensitive settings increases, cryptographic guarantee…