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  1. No Access

    Chapter and Conference Paper

    ARE-CAM: An Interpretable Approach to Quantitatively Evaluating the Adversarial Robustness of Deep Models Based on CAM

    Evaluating the adversarial robustness of deep models is critical for training more robust models. However, few methods are both interpretable and quantifiable. Interpretable evaluation methods cannot quantify ...

    Zituo Li, Jianbin Sun, Yuqi Qin, Lunhao Ju, Kewei Yang in MultiMedia Modeling (2024)

  2. No Access

    Article

    Software rejuvenation in cluster computing systems with dependency between nodes

    Software rejuvenation is a preventive and proactive fault management technique that is particularly useful for counteracting the phenomenon of software aging, aimed at cleaning up the system internal state to ...

    Menghui Yang, Geyong Min, Weikang Yang, Zituo Li in Computing (2014)