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A Novel Tuneable Low-Intensity Adversarial Attack

机译：一种新的可调低强度对抗性攻击

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Salil S. Kanhere; Anjum Naveed;
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年度 2015
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1. DReLAB - Deep REinforcement Learning Adversarial Botnet: A benchmark dataset for adversarial attacks against botnet Intrusion Detection Systems [J] . Andrea Venturi, Giovanni Apruzzese, Mauro Andreolini, Data in Brief . 2021,第3期

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. attackGAN: Adversarial Attack against Black-box IDS using Generative Adversarial Networks [J] . Shuang Zhao, Jing Li, Jianmin Wang, Procedia Computer Science . 2021,第a期

机译：通过生成的对抗网络，进攻：对黑匣子ID的对抗攻击
3. Adversarial Examples Detection for XSS Attacks Based on Generative Adversarial Networks [J] . Zhang Xueqin, Zhou Yue, Pei Songwen, Quality Control, Transactions . 2020,第期

机译：基于生成对抗网络的XSS攻击对抗对抗示例检测
4. A novel tuneable low-intensity adversarial attack [C] . Kanhere, S.S., Naveed, . 2005

机译：一种新型的可调式低强度对抗攻击
5. Physically Realizable Targeted Adversarial Attacks on Autonomous Driving [D] . Buddareddygari, Prasanth. 2021

机译：对自动驾驶的物理可实现的敌对攻击
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. Blind Adversarial Pruning: Towards The Comprehensive Robust Models With Gradually Pruning Against Blind Adversarial Attacks [O] . Haidong Xie, Lixin Qian, Xueshuang Xiang, 2021

机译：盲体对抗修剪：朝着逐渐修剪逐渐修剪盲目对抗攻击的综合策略模型

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