3 citations · 5 across the 4 of their papers we have counts for
4 papers · 1 filter
Collaborative CP-NIZKs: Modular, Composable Proofs for Distributed Secrets
Mohammed Alghazwi, Tariq Bontekoe, Leon Visscher +1
Non-interactive zero-knowledge (NIZK) proofs of knowledge have proven to be highly relevant for securely realizing a wide array of applications that rely on both privacy and correc…
Efficient Verifiable Differential Privacy with Input Authenticity in the Local and Shuffle Model
Tariq Bontekoe, Hassan Jameel Asghar, Fatih Turkmen
Local differential privacy (LDP) enables the efficient release of aggregate statistics without having to trust the central server (aggregator), as in the central model of different…
VPAS: Publicly Verifiable and Privacy-Preserving Aggregate Statistics on Distributed Datasets
Mohammed Alghazwi, Dewi Davies-Batista, Dimka Karastoyanova +1
Aggregate statistics play an important role in extracting meaningful insights from distributed data while preserving privacy. A growing number of application domains, such as healt…
Verifiable Privacy-Preserving Computing
Tariq Bontekoe, Dimka Karastoyanova, Fatih Turkmen
Privacy-preserving computation (PPC) methods, such as secure multiparty computation (MPC) and homomorphic encryption (HE), are deployed increasingly often to guarantee data confide…