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CtrlFuzz: A controllable diffusion-based fuzz testing for deep neural networks via coverage-aware manifold guidance.

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Title: CtrlFuzz: A controllable diffusion-based fuzz testing for deep neural networks via coverage-aware manifold guidance.
Authors: Ye, Aoshuang1,2, asye@wtu.edu.cn, Zhang, Shilin1, 2315363114@mail.wtu.edu.cn, Yan, Runze1, 2415063014@mail.wtu.edu.cn, Ke, Jianpeng3, kejianpeng@whu.edu.cn, Zhu, Fei1, zf@wtu.edu.cn, Tang, Benxiao1, bxtang@wtu.edu.cn
Source: Information & Software Technology; Nov2025, Vol. 187, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187701137
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187701137
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      – Type: doi
        Value: 10.1016/j.infsof.2025.107856
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      – Code: eng
        Text: English
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      – TitleFull: CtrlFuzz: A controllable diffusion-based fuzz testing for deep neural networks via coverage-aware manifold guidance.
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            NameFull: Ye, Aoshuang
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            NameFull: Zhang, Shilin
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            NameFull: Zhu, Fei
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            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
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