VPP: Privacy Preserving Machine Learning via Undervolting

Author:

Islam Md Shohidul1,Omidi Behnam2,Alouani Ihsen3,Khasawneh Khaled N.2

Affiliation:

1. George Mason University,CSE Dept., DUET, Bangladesh,Fairfax,VA,USA

2. George Mason University,ECE Department,Fairfax,VA,USA

3. Queen’s University Belfast,CSIT,UK

Funder

National Science Foundation

Publisher

IEEE

Reference40 articles.

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3. Membership privacy for machine learning models through knowledge transfer;houmansadr;35th AAAI Conference on Artificial Intelligence,2021

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5. Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarrays

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1. Hardware Support for Trustworthy Machine Learning: A Survey;2024 25th International Symposium on Quality Electronic Design (ISQED);2024-04-03

2. Harnessing ML Privacy by Design Through Crossbar Array Non-Idealities;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25

3. DINAR: Enabling Distribution Agnostic Noise Injection in Machine Learning Hardware;Proceedings of the 12th International Workshop on Hardware and Architectural Support for Security and Privacy;2023-10-29

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