Search Results - Mo, Kanghua

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  1. 1
    Attacking Deep Reinforcement Learning With Decoupled Adversarial Policy

    Attacking Deep Reinforcement Learning With Decoupled Adversarial Policy by Mo, Kanghua, Tang, Weixuan, Li, Jin, Yuan, Xu

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  2. 2
    Exploring the vulnerability of self-supervised monocular depth estimation models

    Exploring the vulnerability of self-supervised monocular depth estimation models by Hou, Ruitao, Mo, Kanghua, Long, Yucheng, Li, Ning, Rao, Yuan

    Published in Information sciences
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  3. 3
    Security and Privacy Issues in Deep Reinforcement Learning: Threats and Countermeasures

    Security and Privacy Issues in Deep Reinforcement Learning: Threats and Countermeasures by Mo, Kanghua, Ye, Peigen, Ren, Xiaojun, Wang, Shaowei, Li, Wenjun, Li, Jin

    Published in ACM computing surveys
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  4. 4
    Empirical study of privacy inference attack against deep reinforcement learning models

    Empirical study of privacy inference attack against deep reinforcement learning models by Zhou, Huaicheng, Mo, Kanghua, Huang, Teng, Li, Yongjin

    Published in Connection science
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  5. 5
    An efficient adversarial example generation algorithm based on an accelerated gradient iterative fast gradient

    An efficient adversarial example generation algorithm based on an accelerated gradient iterative fast gradient by Liu, Jiabao, Zhang, Qixiang, Mo, Kanghua, Xiang, Xiaoyu, Li, Jin, Cheng, Debin, Gao, Rui, Liu, Beishui, Chen, Kongyang, Wei, Guanjie

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  6. 6
    ESM: Selfish mining under ecological footprint

    ESM: Selfish mining under ecological footprint by Ai, Shan, Yang, Guoyu, Chen, Chang, Mo, Kanghua, Lv, Wangyong, Voundi Koe, Arthur Sandor

    Published in Information sciences
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  7. 7
    Sender anonymity: Applying ring signature in gateway-based blockchain for IoT is not enough

    Sender anonymity: Applying ring signature in gateway-based blockchain for IoT is not enough by Voundi Koe, Arthur Sandor, Ai, Shan, Huang, Pengfei, Yan, Anli, Tang, Juan, Chen, Qi, Mo, Kanghua, Jie, Wanqing, Zhang, Shiwen

    Published in Information sciences
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