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AI is Secure Computing

AI technology is contributing greatly to enhancing the accuracy of automatic security vulnerability detection technology. At the same time, countermeasures against security threats targeting AI itself are being actively developed.

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  • 2019

  • Finding Robust Domain from Attacks: a Learning Framework for Blind Watermarking

    SEUNGMIN MUN, Seunghun Nam, HANUL JANG, Dongkyu Kim, Heung-Kyu LEE
    NEUROCOMPUTING
    2019

  • Learning Deep Features for Source Color Laser Printer Identification based on Cascaded Learning

    Kim, Do-Guk, Hou, Jong-Uk, Heung-Kyu LEE
    NEUROCOMPUTING
    2019

  • 2017

  • Real-Time Scheduling for Preventing Information Leakage with Preemption Overheads

    백형부, 이진규, 이재원, 김평, Kang, Brent Byunghoon
    Advances in Electrical and Computer Engineering
    2017

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  • 2016

  • An Enhanced Rule-Based Web Scanner Based on Similarity Score

    MinSoo Lee, Lee, Younho, Hyunsoo Yoon
    ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING
    2016

    []

  • Data Randomization and Cluster-Based Partitioning for Botnet Intrusion Detection

    Omar Y. Al-Jarrah, Omar Alhussein, Paul D. Yoo, Sami Muhaidat, Taha, K., Kwangjo Kim
    IEEE TRANSACTIONS ON CYBERNETICS
    2016

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  • 2014

  • Estimation of Linear Transformation by Analyzing the Periodicity of Interpolation

    Seung Jin Ryu, Heung-Kyu LEE
    PATTERN RECOGNITION LETTERS
    2014

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  • 2011

  • Color Extended Visual Cryptography using Error Diffusion

    Kang, InKoo, Arce, Gonzalo R., Heung-Kyu LEE
    IEEE TRANSACTIONS ON IMAGE PROCESSING
    2011

    [] []

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