Collaborative Research: CNS Core: Small: Privacy by Memory Design
Collaborative Research: CNS Core: Small: Privacy by Memory Design
批准号:
2211215
负责人:
Na Gong
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-08-01 至 2025-12-31
中文摘要
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英文摘要
Differential privacy (DP) has been widely accepted as the de facto technique for protecting data privacy. Despite the decade-long research efforts on DP, there still exists a critical research problem that has been largely overlooked, that is all existing DP studies are grounded on the hypothesis that software can easily and faithfully sample and add noises from a probability distribution. However, this hypothesis is being constantly challenged by recent findings about its privacy violation and by the growing demand of privacy protection in low-end devices that may lack high-level software libraries. Hence, this project's innovative research angle is to realize DP mechanisms directly on embedded memories, which are ubiquitous in modern electronic devices. On the technical front, the developed innovation has the following merits. (1) It frees host devices from dedicated software and accomplishes the vision of "privacy by design"; (2) It concurrently improves manifold system performance such as power efficiency, privacy, and chip overhead; (3) The developed technique is primitive, generic, and scalable to every electronic device.This project will also create profound impact on our society, economy, and workforce development. Specifically, the developed technique will be transformative to numerous sensitive applications (e.g., surveillance and sensing) and critical infrastructures (e.g., Internet of Things devices). It will potentially increase the U.S. chip vendors' revenue and competitiveness by adding privacy-preserving functionality to their chips, protect taxpayers' and enterprises' sensitive data, safeguard national security, and help the U.S. out-compete global competitors in cybersecurity. Moreover, this project will help PIs to update existing curricula, engage students – with priority to female or/and first-generation college students – for research training, and promote community outreach through existing successful programs such as the NSF-funded RET site in Mobile, Alabama.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(1)
专著(0)
科研奖励(0)
会议论文
Approximate Memory for Low-Power Video Applications
低功耗视频应用的近似内存
DOI:
10.1109/access.2023.3283409
发表时间:
2023
期刊:
IEEE Access
影响因子:
3.9
作者:
[Das, H., Haidous, A. A., Smith, S. C., Gong, N.]
通讯作者:
Gong, N.
RII Track 2 FEC: Building Research Infrastructure and Workforce in Edge Artificial Intelligence
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批准号:2218046
-
项目类别:Cooperative Agreement
-
资助金额:$600.0万
-
财政年份:2022
-
负责人:Na Gong
-
依托单位:
RET Site: Research Experiences for Teachers in Biologically-inspired Computing Systems
-
批准号:1953544
-
项目类别:Standard Grant
-
资助金额:$59.26万
-
财政年份:2020
-
负责人:Na Gong
-
依托单位:
IRES Track I:Collaborative Research:Application-Specific Asynchronous Deep Learning IC Design for Ultra-Low Power
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批准号:1951488
-
项目类别:Standard Grant
-
资助金额:$10.0万
-
财政年份:2020
-
负责人:Na Gong
-
依托单位:
SHF: Small: Turning Visual Noise into Hardware Efficiency: Viewer-Aware Energy-Quality Adaptive Mobile Video Storage
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批准号:1815430
-
项目类别:Standard Grant
-
资助金额:$30.0万
-
财政年份:2018
-
负责人:Na Gong
-
依托单位:
SHF: Small: Turning Visual Noise into Hardware Efficiency: Viewer-Aware Energy-Quality Adaptive Mobile Video Storage
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批准号:1855706
-
项目类别:Standard Grant
-
资助金额:$30.0万
-
财政年份:2018
-
负责人:Na Gong
-
依托单位:
EAGER: Data-Mining Driven Power-Efficient Intelligent Memory Storage for Mobile Video Applications
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批准号:1514780
-
项目类别:Standard Grant
-
资助金额:$20.0万
-
财政年份:2015
-
负责人:Na Gong
-
依托单位:
国内基金
海外基金
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