1 citations · 1 across the 3 of their papers we have counts for
5 papers
Cloak: Heuristic ORAM Optimization Through Fixed Temporal Distribution
Onur Eren Arpaci, Florian Kerschbaum, Sujaya Maiyya
Encrypted cloud storage can hide data contents but still leak sensitive information through access patterns. ORAM addresses this by hiding access patterns, but existing ORAM system…
Private Vertical Federated Inference for Time-Series
Lucas Fenaux, Larris Xie, Aditya Bang +3
Institutions may benefit from collaborative inference on time-series data. In settings where privacy is necessary, multi-party computation (MPC) is a straightforward approach to pr…
Hammer and Anvil: Toward a Theory of Backdoors in Federated Learning
Lucas Fenaux, Zheng Wang, Jacob Yan +2
Federated Learning (FL) enables distributed model training but is vulnerable to backdoor attacks, where malicious clients embed attacker-controlled behaviors into the global model.…
Optimal Pure Differentially Private Sparse Histograms in Deterministic Linear Time
Florian Kerschbaum, Steven Lee, Hao Wu
We present an algorithm that releases a pure differentially private (under the replacement neighboring relation) sparse histogram for participants over a domain of size $d \gg…
Private Data Imputation
Abdelkarim Kati, Florian Kerschbaum, Marina Blanton
Data imputation is an important data preparation task where the data analyst replaces missing or erroneous values to increase the expected accuracy of downstream analyses. The accu…