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Quantum Machine Learning for Software Supply Chain Attacks:..:

, In: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC),

Masum, Mohammad ; Nazim, Mohammad ; Faruk, Md Jobair Hossain... - p. 530-538 , 2022

Link: https://doi.org/10.1109/COMPSAC54236.2022.00097

RT 
T1 <cTitle>2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)</cTitle>: T1 <Title>Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go?</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9842669&Exemplar=1&LAN=DE
				
A1 Masum, Mohammad
A1 Nazim, Mohammad
A1 Faruk, Md Jobair Hossain
A1 Shahriar, Hossain
A1 Valero, Maria
A1 Khan, Md Abdullah Hafiz
A1 Uddin, Gias
A1 Barzanjeh, Shabir
A1 Saglamyurek, Erhan
A1 Rahman, Akond
A1 Ahamed, Sheikh Iqbal
YR 2022
K1 Computers
K1 Machine learning algorithms
K1 Supply chains
K1 Neural networks
K1 Qubit
K1 Software algorithms
K1 Support vector machine classification
K1 Quantum Computing
K1 Quantum Machine Learning
K1 Software Supply Chain
K1 Software Security
K1 Source Code Vulnerability
K1 Quantum Support Vector Machine
K1 Quantum Neural Network
SP 530
OP 538
LK http://dx.doi.org/https://doi.org/10.1109/COMPSAC54236.2022.00097
DO https://doi.org/10.1109/COMPSAC54236.2022.00097
SF ELIB - SuUB Bremen

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