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Machine Learning (In) Security: A Stream of Problems

Machine Learning (In) Security: A Stream of Problems

30 October 2020
Fabrício Ceschin
Marcus Botacin
Albert Bifet
Bernhard Pfahringer
Luiz Eduardo Soares de Oliveira
Heitor Murilo Gomes
André Grégio
    AAML
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Papers citing "Machine Learning (In) Security: A Stream of Problems"

3 / 3 papers shown
Title
Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems
Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems
Ayush Kumar
V. Thing
55
0
0
21 Feb 2025
Machine Learning Security in Industry: A Quantitative Survey
Machine Learning Security in Industry: A Quantitative Survey
Kathrin Grosse
L. Bieringer
Tarek R. Besold
Battista Biggio
Katharina Krombholz
27
31
0
11 Jul 2022
Adversarial Attacks against Windows PE Malware Detection: A Survey of
  the State-of-the-Art
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art
Xiang Ling
Lingfei Wu
Jiangyu Zhang
Zhenqing Qu
Wei Deng
...
Chunming Wu
S. Ji
Tianyue Luo
Jingzheng Wu
Yanjun Wu
AAML
26
72
0
23 Dec 2021
1