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Majid Sabbagh
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2020 – today
- 2024
- [j2]Nikita Mirchandani
, Majid Sabbagh, Yunsi Fei
A High-Efficiency Power Obfuscation Switched-Capacitor DC-DC Converter Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(10): 2868-2873 (2024) - [c13]Debayan Das, Majid Sabbagh, Rana Elnaggar, Guang Chen, Sayak Ray, Jason M. Fung:
Optimal Placement of TDC Sensor for Enhanced Power Side-Channel Assessment on FPGAS. VLSID 2024: 443-448 - 2023
- [c12]Anupam Golder
Power Side-Channel Vulnerability Assessment of Lightweight Cryptographic Scheme, XOODYAK. DAC 2023: 1-6 - 2021
- [c11]Majid Sabbagh, Yunsi Fei
Overdrive Fault Attacks on GPUs. DSN (Supplements) 2021: 68-69 - [c10]Majid Sabbagh, Yunsi Fei, David R. Kaeli:
GPU Overdrive Fault Attacks on Neural Networks. ICCAD 2021: 1-8 - 2020
- [c9]Majid Sabbagh, Yunsi Fei
A Novel GPU Overdrive Fault Attack. DAC 2020: 1-6 - [c8]Cheng Gongye, Hongjia Li, Xiang Zhang, Majid Sabbagh, Geng Yuan, Xue Lin, Thomas Wahl, Yunsi Fei:
New Passive and Active Attacks on Deep Neural Networks in Medical Applications. ICCAD 2020: 39:1-39:9
2010 – 2019
- 2019
- [c7]Majid Sabbagh, Cheng Gongye, Yunsi Fei
Evaluating Fault Resiliency of Compressed Deep Neural Networks. ICESS 2019: 1-7 - 2018
- [c6]Majid Sabbagh, Yunsi Fei
SCADET: a side-channel attack detection tool for tracking prime+probe. ICCAD 2018: 107 - 2016
- [c5]Hamed Tabkhi, Majid Sabbagh, Gunar Schirner
Guiding Power/Quality Exploration for Communication-Intense Stream Processing. ACM Great Lakes Symposium on VLSI 2016: 141-144 - [c4]Majid Sabbagh, Martin Uecker, Andrew J. Powell, Miriam Leeser
Cardiac MRI compressed sensing image reconstruction with a graphics processing unit. ISMICT 2016: 1-5 - 2015
- [j1]Hamed Tabkhi, Majid Sabbagh, Gunar Schirner:
Power-efficient real-time solution for adaptive vision algorithms. IET Comput. Digit. Tech. 9(1): 16-26 (2015) - [c3]Hamed Tabkhi, Majid Sabbagh, Gunar Schirner:
An efficient architecture solution for low-power real-time background subtraction. ASAP 2015: 218-225 - [c2]Majid Sabbagh, Hamed Tabkhi, Gunar Schirner:
Taming the Memory Demand Complexity of Adaptive Vision Algorithms. IESS 2015: 145-158 - 2014
- [c1]Hamed Tabkhi, Majid Sabbagh, Gunar Schirner
A Power-Efficient FPGA-Based Mixture-of-Gaussian (MoG) Background Subtraction for Full-HD Resolution. FCCM 2014: 241
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last updated on 2024-10-23 21:23 CEST by the dblp team
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