Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2309.03660
Cited By
Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains
7 September 2023
Peiyang Li
Ye Wang
Qi Li
Zhuotao Liu
Ke Xu
Ju Ren
Zhiying Liu
Ruilin Lin
AAML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains"
3 / 3 papers shown
Title
HTTP2vec: Embedding of HTTP Requests for Detection of Anomalous Traffic
Mateusz Gniewkowski
H. Maciejewski
T. Surmacz
Wiktor Walentynowicz
21
8
0
03 Aug 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
365
11,700
0
09 Mar 2017
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
281
31,267
0
16 Jan 2013
1