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Cybersecurity Anomaly Detection in Adversarial Environments
v1v2 (latest)

Cybersecurity Anomaly Detection in Adversarial Environments

14 May 2021
David A. Bierbrauer
Alexander Chang
Will Kritzer
Nathaniel D. Bastian
    AAML
ArXiv (abs)PDFHTML

Papers citing "Cybersecurity Anomaly Detection in Adversarial Environments"

3 / 3 papers shown
Title
Adversarial Machine Learning in Network Intrusion Detection Systems
Adversarial Machine Learning in Network Intrusion Detection Systems
Elie Alhajjar
P. Maxwell
Nathaniel D. Bastian
GANSILMAAML
95
140
0
23 Apr 2020
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
Siddharth Bhatia
Bryan Hooi
Minji Yoon
Kijung Shin
Christos Faloutsos
48
105
0
11 Nov 2019
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
282
8,587
0
16 Aug 2016
1