On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks

Author:

Roy Deboleena,Chakraborty Indranil,Ibrayev Timur,Roy Kaushik

Funder

Semiconductor Research Corporation

Publisher

IEEE

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. QNAD: Quantum Noise Injection for Adversarial Defense in Deep Neural Networks;2024 IEEE International Symposium on Hardware Oriented Security and Trust (HOST);2024-05-06

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

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

4. Adversarial Defense using Memristors and Input Preprocessing *;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21

5. SwitchX : Gmin-Gmax Switching for Energy-Efficient and Robust Implementation of Binarized Neural Networks on ReRAM Xbars;ACM Transactions on Design Automation of Electronic Systems;2022-12-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3