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A Query-Based Greedy Approach for Authentic Influencer Discovery in SIoT
《Computers, Materials & Continua》2023年第3期6535-6553,共19页Farah Batool Abdul Rehman Dongsun Kim Assad Abbas Raheel Nawaz Tahir Mustafa Madni 
This work was supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.2021R1A5A1021944 and 2021R1I1A3048013);Additionally,the research was supported by Kyungpook National University Research Fund,2020.
The authors propose an informed search greedy approach that efficiently identifies the influencer nodes in the social Internet of Things with the ability to provide legitimate information.Primarily,the proposed approa...
关键词：Online social network influencer search query-based approach greedy search social internet of things(siot) 
Towards the universal defense for query-based audio adversarial attacks on speech recognition system
《Cybersecurity》2024年第1期53-70,共18页Feng Guo Zheng Sun Yuxuan Chen Lei Ju 
supported in part by NSFC No.62202275,Shandong-SF No.ZR2022QF012 projects.
Recently,studies show that deep learning-based automatic speech recognition(ASR)systems are vulnerable to adversarial examples(AEs),which add a small amount of noise to the original audio examples.These AE attacks pos...
关键词：Adversarial attacks DEFENSE Memory mechanism Query-based 
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