AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks

机译：Advms：对抗对抗攻击的多源多重成本防御

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Xiao Wang; Siyue Wang; Pin-Yu Chen; Xue Lin; Peter Chin;
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1. Multi-Source Adversarial Sample Attack on Autonomous Vehicles [J] . Xiong Zuobin, Xu Honghui, Li Wei, IEEE Transactions on Vehicular Technology . 2021,第3期

机译：自动车辆的多源对抗样本攻击
2. Assessing the Threat of Adversarial Examples on Deep Neural Networks for Remote Sensing Scene Classification: Attacks and Defenses [J] . Yonghao Xu, Bo Du, Liangpei Zhang IEEE Transactions on Geoscience and Remote Sensing. . 2021,第2期

机译：评估对遥感场景分类深度神经网络的对抗例的威胁：攻击和防御
3. Adversarial examples: attacks and defenses in the physical world [J] . Ren Huali, Huang Teng, Yan Hongyang International journal of machine learning and cybernetics . 2021,第11期

机译：对抗性示例：物理世界中的攻击和防御
4. AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks [C] . Xiao Wang, Siyue Wang, Pin-Yu Chen, IEEE International Conference on Acoustics, Speech and Signal Processing . 2020

机译：AdvMS：对抗攻击的多源多成本防御
5. Adversarial Machine Learning in Computer Vision: Attacks and Defenses on Machine Learning Models [D] . Qin, Yi. 2021

机译：计算机视觉上的对抗机器学习：机器学习模型的攻击和防御
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

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
7. Cycle-Consistent Adversarial GAN: The Integration of Adversarial Attack and Defense [O] . Lingyun Jiang, Kai Qiao, Ruoxi Qin, 2020

机译：循环一致的对抗甘：对抗攻击和防御的整合

AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks

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