Yao’s garbled circuit technique is often used in outsourced computation. Current approaches divide the computation to two or more servers. The assumption is that the servers collaborate in offering the outsourced computation, but do not share data. This seems somewhat paradoxical in the current cloud economy. We therefore propose oblivious out-sourcing where one server is unaware that other servers are involved. We present a garbled circuit generation outsourc-ing scheme built on lattice-based cryptography implement-ing this model. Our scheme does not increase the cost of circuit evaluation, but achieves a speed up of 98 % (factor 55) for circuit generation
Abstract\u2014Two-party Secure Multi-party Computation (SMC) is a classical problem in theoretical s...
Secure Multi-party Computation (SMC) protocols enable two or more parties to compute collaboratively...
Abstract. This paper reports on a number of conceptual and technical contributions to the currently ...
Garbled circuits offer a powerful primitive for computation on a user’s personal data while keeping ...
We construct the first schemes that allow a client to privately outsource arbitrary program executio...
Garbled circuits provide a powerful tool for jointly evaluating functions while preserving the priva...
Private computing provides a clever way to process data without revealing any details about the data...
We consider the problem of delegating computations, in which a client may outsource the computation ...
Part 2: Asian Conference on Availability, Reliability and Security (AsiaARES)International audienceW...
Solutions to the verifiable outsourcing problem based on Yao’s Garbled Circuit (GC) construction h...
Abstract. Non-interactive verifiable outsourced computation enables a computationally weak client to...
Secure Multi-party Computation (SMC) has been introduced to allow the computation of generic functio...
Research areas: Information Security and Cryptography, Secure Multiparty Computation, Mobile Securit...
Garbled circuits are a fundamental cryptographic primitive that allows two or more parties to secure...
The Garbled Circuit (GC) technique is foundational in secure multiparty computation (MPC). GC allows...
Abstract\u2014Two-party Secure Multi-party Computation (SMC) is a classical problem in theoretical s...
Secure Multi-party Computation (SMC) protocols enable two or more parties to compute collaboratively...
Abstract. This paper reports on a number of conceptual and technical contributions to the currently ...
Garbled circuits offer a powerful primitive for computation on a user’s personal data while keeping ...
We construct the first schemes that allow a client to privately outsource arbitrary program executio...
Garbled circuits provide a powerful tool for jointly evaluating functions while preserving the priva...
Private computing provides a clever way to process data without revealing any details about the data...
We consider the problem of delegating computations, in which a client may outsource the computation ...
Part 2: Asian Conference on Availability, Reliability and Security (AsiaARES)International audienceW...
Solutions to the verifiable outsourcing problem based on Yao’s Garbled Circuit (GC) construction h...
Abstract. Non-interactive verifiable outsourced computation enables a computationally weak client to...
Secure Multi-party Computation (SMC) has been introduced to allow the computation of generic functio...
Research areas: Information Security and Cryptography, Secure Multiparty Computation, Mobile Securit...
Garbled circuits are a fundamental cryptographic primitive that allows two or more parties to secure...
The Garbled Circuit (GC) technique is foundational in secure multiparty computation (MPC). GC allows...
Abstract\u2014Two-party Secure Multi-party Computation (SMC) is a classical problem in theoretical s...
Secure Multi-party Computation (SMC) protocols enable two or more parties to compute collaboratively...
Abstract. This paper reports on a number of conceptual and technical contributions to the currently ...