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Holmes: An Efficient and Lightweight Semantic Based Anomalous Email
  Detector

Holmes: An Efficient and Lightweight Semantic Based Anomalous Email Detector

16 April 2021
Peilun Wu
Hui Guo
ArXivPDFHTML

Papers citing "Holmes: An Efficient and Lightweight Semantic Based Anomalous Email Detector"

5 / 5 papers shown
Title
DualNet: Locate Then Detect Effective Payload with Deep Attention
  Network
DualNet: Locate Then Detect Effective Payload with Deep Attention Network
Shiyi Yang
Peilun Wu
Hui Guo
25
9
0
23 Oct 2020
Densely Connected Residual Network for Attack Recognition
Densely Connected Residual Network for Attack Recognition
Peilun Wu
Nour Moustafa
Shiyi Yang
Hui Guo
16
12
0
05 Aug 2020
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent
  Threats
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats
Xueyuan Han
Thomas Pasquier
Adam Bates
James W. Mickens
Margo Seltzer
56
271
0
06 Jan 2020
Similarity encoding for learning with dirty categorical variables
Similarity encoding for learning with dirty categorical variables
Patricio Cerda
Gaël Varoquaux
Balázs Kégl
CML
42
206
0
04 Jun 2018
Provenance-based Intrusion Detection: Opportunities and Challenges
Provenance-based Intrusion Detection: Opportunities and Challenges
Xueyuan Han
Thomas Pasquier
Margo Seltzer
23
45
0
04 Jun 2018
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