Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning
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(FIVE YEARS 14)

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(FIVE YEARS 1)

Published By ACM

9781450380072

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Algorithm selection framework for cyber attack detection

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning ◽

10.1145/3395352.3402623 ◽

2020 ◽

Author(s):

Marc Chalé ◽

Nathaniel D. Bastian ◽

Jeffery Weir

Keyword(s):

Attack Detection ◽

Cyber Attack ◽

Algorithm Selection ◽

Selection Framework

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Data augmentation with conditional GAN for automatic modulation classification

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning ◽

10.1145/3395352.3402622 ◽

2020 ◽

Author(s):

Mansi Patel ◽

Xuyu Wang ◽

Shiwen Mao

Keyword(s):

Data Augmentation ◽

Modulation Classification ◽

Automatic Modulation Classification

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Adversarial machine learning based partial-model attack in IoT

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning ◽

10.1145/3395352.3402619 ◽

2020 ◽

Author(s):

Zhengping Luo ◽

Shangqing Zhao ◽

Zhuo Lu ◽

Yalin E. Sagduyu ◽

Jie Xu

Keyword(s):

Machine Learning ◽

Partial Model

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Deep learning based wiretap coding via mutual information estimation

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning ◽

10.1145/3395352.3402654 ◽

2020 ◽

Author(s):

Rick Fritschek ◽

Rafael F. Schaefer ◽

Gerhard Wunder

Keyword(s):

Deep Learning ◽

Mutual Information ◽

Wiretap Coding

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Investigating a spectral deception loss metric for training machine learning-based evasion attacks

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning ◽

10.1145/3395352.3402624 ◽

2020 ◽

Author(s):

Matthew DelVecchio ◽

Vanessa Arndorfer ◽

William C. Headley

Keyword(s):

Machine Learning

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Open set recognition through unsupervised and class-distance learning

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning ◽

10.1145/3395352.3402901 ◽

2020 ◽

Author(s):

Andrew Draganov ◽

Carter Brown ◽

Enrico Mattei ◽

Cass Dalton ◽

Jaspreet Ranjit

Keyword(s):

Distance Learning ◽

Open Set ◽

Open Set Recognition

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Generative adversarial attacks against intrusion detection systems using active learning

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning ◽

10.1145/3395352.3402618 ◽

2020 ◽

Author(s):

Dule Shu ◽

Nandi O. Leslie ◽

Charles A. Kamhoua ◽

Conrad S. Tucker

Keyword(s):

Active Learning ◽

Intrusion Detection ◽

Intrusion Detection Systems ◽

Detection Systems

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Encrypted rich-data steganography using generative adversarial networks

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning ◽

10.1145/3395352.3402626 ◽

2020 ◽

Author(s):

Dule Shu ◽

Weilin Cong ◽

Jiaming Chai ◽

Conrad S. Tucker

Keyword(s):

Generative Adversarial Networks ◽

Adversarial Networks ◽

Rich Data

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Machine learning-driven intrusion detection for Contiki-NG-based IoT networks exposed to NSL-KDD dataset

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning ◽

10.1145/3395352.3402621 ◽

2020 ◽

Cited By ~ 2

Author(s):

Jinxin Liu ◽

Burak Kantarci ◽

Carlisle Adams

Keyword(s):

Machine Learning ◽

Intrusion Detection

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Generalized wireless adversarial deep learning

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning ◽

10.1145/3395352.3402625 ◽

2020 ◽

Cited By ~ 1

Author(s):

Francesco Restuccia ◽

Salvatore D'Oro ◽

Amani Al-Shawabka ◽

Bruno Costa Rendon ◽

Kaushik Chowdhury ◽

...

Keyword(s):

Deep Learning

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Proceedings of the 2nd ACM Workshop on Wireless Security and Machine LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ACM

Algorithm selection framework for cyber attack detection

Data augmentation with conditional GAN for automatic modulation classification

Adversarial machine learning based partial-model attack in IoT

Deep learning based wiretap coding via mutual information estimation

Investigating a spectral deception loss metric for training machine learning-based evasion attacks

Open set recognition through unsupervised and class-distance learning

Generative adversarial attacks against intrusion detection systems using active learning

Encrypted rich-data steganography using generative adversarial networks

Machine learning-driven intrusion detection for Contiki-NG-based IoT networks exposed to NSL-KDD dataset

Generalized wireless adversarial deep learning

Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning
Latest Publications