WYS*: A DSL for Verified Secure Multi-party Computations
November 17, 2017 Β· Declared Dead Β· π The post
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Aseem Rastogi, Nikhil Swamy, Michael Hicks
arXiv ID
1711.06467
Category
cs.PL: Programming Languages
Citations
20
Venue
The post
Last Checked
3 months ago
Abstract
Secure multi-party computation (MPC) enables a set of mutually distrusting parties to cooperatively compute, using a cryptographic protocol, a function over their private data. This paper presents Wys*, a new domain-specific language (DSL) for writing mixed-mode MPCs. Wys* is an embedded DSL hosted in F*, a verification-oriented, effectful programming language. Wys* source programs are essentially F* programs written in a custom MPC effect, meaning that the programmers can use F*'s logic to verify the correctness and security properties of their programs. To reason about the distributed runtime semantics of these programs, we formalize a deep embedding of Wys*, also in F*. We mechanize the necessary metatheory to prove that the properties verified for the Wys* source programs carry over to the distributed, multi-party semantics. Finally, we use F*'s extraction to extract an interpreter that we have proved matches this semantics, yielding a partially verified implementation. Wys* is the first DSL to enable formal verification of MPC programs. We have implemented several MPC protocols in Wys*, including private set intersection, joint median, and an MPC card dealing application, and have verified their correctness and security.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Programming Languages
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
R.I.P.
π»
Ghosted
Glow: Graph Lowering Compiler Techniques for Neural Networks
R.I.P.
π»
Ghosted
Learnable Programming: Blocks and Beyond
R.I.P.
π»
Ghosted
Scenic: A Language for Scenario Specification and Scene Generation
R.I.P.
π»
Ghosted
Vandal: A Scalable Security Analysis Framework for Smart Contracts
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted