83 citations · 93 across the 4 of their papers we have counts for
4 papers
Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning
Yiping Ma, Jess Woods, Sebastian Angel +2
This paper introduces Flamingo, a system for secure aggregation of data across a large set of clients. In secure aggregation, a server sums up the private inputs of clients and obt…
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning
Sameer Wagh, Shruti Tople, Fabrice Benhamouda +3
We propose Falcon, an end-to-end 3-party protocol for efficient private training and inference of large machine learning models. Falcon presents four main advantages - (i) It is hi…
Towards a Privacy Research Roadmap for the Computing Community
Lorrie Cranor, Tal Rabin, Vitaly Shmatikov +2
Great advances in computing and communication technology are bringing many benefits to society, with transformative changes and financial opportunities being created in health care…
On Compression of Data Encrypted with Block Ciphers
Demijan Klinc, Carmit Hazay, Ashish Jagmohan +2
This paper investigates compression of data encrypted with block ciphers, such as the Advanced Encryption Standard (AES). It is shown that such data can be feasibly compressed with…