Collaborative Research: SaTC: CORE: Medium: New Constructions for Garbled Computation
Collaborative Research: SaTC: CORE: Medium: New Constructions for Garbled Computation
批准号:
2246354
负责人:
Vladimir Kolesnikov
金额:
$40.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-04-01 至 2027-03-31
中文摘要
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英文摘要
Secure multi-party computation (MPC) is a large and growing subfield of cryptography that enables mutually untrusting parties to jointly evaluate functions on their private data. One exciting promise of MPC is the ability to write such functions as general programs and then evaluate them securely. This would enable even non-crypto-specialists to automatically augment ordinary software with powerful security properties. Tools for achieving this goal have proven elusive, due to barriers to efficiently executing ordinary programs inside MPC. The critical barrier is in efficiently handling random access memory (RAM). RAM is ubiquitous in computing, but efficient MPC handling of RAM is well known as a stubborn challenge. This project will significantly improve MPC handling of RAM, thus enabling far more efficient general-purpose MPC tools.Garbled RAM (GRAM) is a powerful MPC primitive that removes interactivity (and hence costly latency) from MPC of programs with RAM accesses. Recent GRAM techniques overcame several long-standing obstacles to GRAM efficiency and restored hope for significant further improvement. The investigators will seize the opportunity, and will explore and implement novel GRAM techniques. The project’s scope is broad, and includes improving GRAM efficiency, bringing GRAM to richer settings, understanding GRAM’s theoretical and practical limitations, improving the cryptographic assumptions needed to construct efficient GRAM, and implementing software prototypes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
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DOI:
10.1007/978-3-031-38551-3_5
发表时间:
2023
期刊:
影响因子:
--
作者:
[David Heath;V. Kolesnikov;R. Ostrovsky]
通讯作者:
David Heath;V. Kolesnikov;R. Ostrovsky
Fast ORAM with Server-Aided Preprocessing and Pragmatic Privacy-Efficiency Trade-Off
具有服务器辅助预处理和务实的隐私效率权衡的快速 ORAM
DOI:
--
发表时间:
2023
期刊:
and Machine Learning CSCML 2023
影响因子:
--
作者:
[Vladimir Kolesnikov, Stanislav Peceny]
通讯作者:
Vladimir Kolesnikov, Stanislav Peceny
DOI:
10.1145/3576915.3623169
发表时间:
2023-11
期刊:
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
影响因子:
--
作者:
[Yibin Yang;David Heath;Carmit Hazay;V. Kolesnikov;Muthuramakrishnan Venkitasubramaniam]
通讯作者:
Yibin Yang;David Heath;Carmit Hazay;V. Kolesnikov;Muthuramakrishnan Venkitasubramaniam
Towards Generic MPC Compilers via Variable Instruction Set Architectures (VISAs)
通过可变指令集架构 (VISA) 实现通用 MPC 编译器
DOI:
--
发表时间:
2023
期刊:
ACM CCS 2023
影响因子:
--
作者:
[Yibin Yang, Stanislav Peceny]
通讯作者:
Yibin Yang, Stanislav Peceny
国内基金
海外基金
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资助金额:--
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