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Generating Practical Adversarial Network Traffic Flows Using NIDSGAN

Generating Practical Adversarial Network Traffic Flows Using NIDSGAN

13 March 2022
B. Zolbayar
Ryan Sheatsley
Patrick McDaniel
Mike Weisman
Sencun Zhu
Shitong Zhu
S. Krishnamurthy
    GAN
    AAML
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Papers citing "Generating Practical Adversarial Network Traffic Flows Using NIDSGAN"

3 / 3 papers shown
Title
TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic
  Analysis and Generation
TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation
Jian Qu
Xiaobo Ma
Jianfeng Li
AI4TS
49
10
0
09 Mar 2024
Explainable and Transferable Adversarial Attack for ML-Based Network
  Intrusion Detectors
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
Hangsheng Zhang
Dongqi Han
Yinlong Liu
Zhiliang Wang
Jiyan Sun
Shangyuan Zhuang
Jiqiang Liu
Jinsong Dong
AAML
22
3
0
19 Jan 2024
Amoeba: Circumventing ML-supported Network Censorship via Adversarial
  Reinforcement Learning
Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning
Haoyu Liu
A. Diallo
P. Patras
AAML
11
3
0
31 Oct 2023
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