يعرض 1 - 10 نتائج من 54 نتيجة بحث عن '"Abuhamad, Mohammed"', وقت الاستعلام: 1.16s تنقيح النتائج
  1. 1
    تقرير
    From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings

    المؤلفون: Juraev, Firuz, Abuhamad, Mohammed, Chan-Tin, Eric, Thiruvathukal, George K., Abuhmed, Tamer

    مصطلحات موضوعية: Computer Science - Cryptography and Security, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2405.01963

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  2. 2
    تقرير
    Impact of Architectural Modifications on Deep Learning Adversarial Robustness

    المؤلفون: Juraev, Firuz, Abuhamad, Mohammed, Woo, Simon S., Thiruvathukal, George K, Abuhmed, Tamer

    مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Cryptography and Security, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2405.01934

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  3. 3
    مؤتمر
    Lightweight and Effective Website Fingerprinting Over Encrypted DNS

    المؤلفون: Shao, Yong, Hernandez, Kenneth, Yang, Kia, Chan-Tin, Eric, Abuhamad, Mohammed

    المصدر: 2023 Silicon Valley Cybersecurity Conference (SVCC) Cybersecurity Conference (SVCC), 2023 Silicon Valley. :1-8 May, 2023

    Relation: 2023 Silicon Valley Cybersecurity Conference (SVCC)

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  4. 4
    مؤتمر
    WebTracker: Real Webbrowsing Behaviors

    المؤلفون: Reyes, Daisy, Dynowski, Eno, Chovan, Taryn, Mikos, John, Chan-Tin, Eric, Abuhamad, Mohammed, Kennison, Shelia

    المصدر: 2023 Silicon Valley Cybersecurity Conference (SVCC) Cybersecurity Conference (SVCC), 2023 Silicon Valley. :1-8 May, 2023

    Relation: 2023 Silicon Valley Cybersecurity Conference (SVCC)

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  5. 5
    تقرير
    Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks

    المؤلفون: Abdukhamidov, Eldor, Abuhamad, Mohammed, Woo, Simon S., Chan-Tin, Eric, Abuhmed, Tamer

    مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Cryptography and Security, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2307.11906

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  6. 6
    تقرير
    Single-Class Target-Specific Attack against Interpretable Deep Learning Systems

    المؤلفون: Abdukhamidov, Eldor, Abuhamad, Mohammed, Thiruvathukal, George K., Kim, Hyoungshick, Abuhmed, Tamer

    مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

    URL الوصول: http://arxiv.org/abs/2307.06484

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  7. 7
    تقرير
    Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems

    المؤلفون: Abdukhamidov, Eldor, Abuhamad, Mohammed, Woo, Simon S., Chan-Tin, Eric, Abuhmed, Tamer

    مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Cryptography and Security, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2307.06496

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  8. 8
    تقرير
    SHIELD: Thwarting Code Authorship Attribution

    المؤلفون: Abuhamad, Mohammed, Jung, Changhun, Mohaisen, David, Nyang, DaeHun

    مصطلحات موضوعية: Computer Science - Cryptography and Security, Computer Science - Computers and Society, Computer Science - Machine Learning, Computer Science - Software Engineering

    URL الوصول: http://arxiv.org/abs/2304.13255

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  9. 9
    كتاب إلكتروني
    Identification and Analysis of the Spread of {Mis}information on Social Media

    المؤلفون: Khan, Muhammad T.Aff10, Gordon, RachelAff10, Khan, NimraAff10, Moran, MadelineAff10, Abuhamad, MohammedAff10, Stalans, LorettaAff10, Huntsinger, JeffreyAff10, Forestal, JenniferAff10, Chan-Tin, EricAff10

    المساهمون: Goos, Gerhard, Founding EditorAff1, Hartmanis, Juris, Founding EditorAff2, Bertino, Elisa, Editorial Board MemberAff3, Gao, Wen, Editorial Board MemberAff4, Steffen, Bernhard, Editorial Board MemberAff5, Yung, Moti, Editorial Board MemberAff6, Hà, Minh Hoàng, editorAff7, Zhu, Xingquan, editorAff8, Thai, My T., editorAff9

    المصدر: Computational Data and Social Networks : 12th International Conference, CSoNet 2023, Hanoi, Vietnam, December 11–13, 2023, Proceedings. 14479:361-372

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  10. 10
    تقرير
    Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning

    المؤلفون: Abdukhamidov, Eldor, Abuhamad, Mohammed, Woo, Simon S., Chan-Tin, Eric, Abuhmed, Tamer

    مصطلحات موضوعية: Computer Science - Cryptography and Security, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

    URL الوصول: http://arxiv.org/abs/2211.15926

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