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Metamorphic Detection of Adversarial Examples in Deep Learning Models with Affine Transformations

机译：具有仿射变换的深层学习模型对抗性实例的变质检测

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Rohan Reddy Mekala; Gudjon Einar Magnusson; Adam Porter; Mikael Lindvall; Madeline Diep;
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年度 2019
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机译：DRELAB - 深度加强学习对抗僵尸网络：用于对僵尸网络入侵检测系统进行对抗性攻击的基准数据集
2. Adversarial Examples: Attacks and Defenses for Deep Learning [J] . Xiaoyong Yuan, Pan He, Qile Zhu, Neural Networks and Learning Systems, IEEE Transactions on . 2019,第9期

机译：对抗示例：深度学习的攻击和防御
3. DeepDetectNet vs RLAttackNet: An adversarial method to improve deep learning-based static malware detection model [J] . Yong Fang, Yuetian Zeng, Beibei Li, PLoS One . 2020,第4期

机译：DeepDetectNet VS RlattackNet：改进基于深度学习的静态恶意软件检测模型的对手方法
4. Metamorphic Detection of Adversarial Examples in Deep Learning Models with Affine Transformations [C] . Rohan Reddy Mekala, Gudjon Einar Magnusson, Adam Porter, International Workshop on Metamorphic Testing . 2019

机译：具有仿射变换的深度学习模型中对抗性示例的变态检测
5. Adversarial Attacks and Robustness in Deep Learning Models and Applications [D] . Alparslan, Yigit Can. 2021

机译：深度学习模型和应用中的对抗攻击和鲁棒性
6. DReLAB - Deep REinforcement Learning Adversarial Botnet: A benchmark dataset for adversarial attacks against botnet Intrusion Detection Systems [O] . Andrea Venturi, Giovanni Apruzzese, Mauro Andreolini, 2021

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7. CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples [O] . Honggang Yu, Kaichen Yang, Teng Zhang, 2020

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Metamorphic Detection of Adversarial Examples in Deep Learning Models with Affine Transformations

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