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2210.15700
Cited By
TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems
27 October 2022
Islam Debicha
Richard Bauwens
Thibault Debatty
Jean-Michel Dricot
Tayeb Kenaza
Wim Mees
AAML
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Papers citing
"TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems"
13 / 13 papers shown
Title
Detect & Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems
Islam Debicha
Thibault Debatty
Jean-Michel Dricot
Wim Mees
Tayeb Kenaza
AAML
10
9
0
22 Dec 2021
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems
Giovanni Apruzzese
M. Andreolini
Luca Ferretti
Mirco Marchetti
M. Colajanni
AAML
78
108
0
17 Jun 2021
Adversarial Feature Selection against Evasion Attacks
Fei Zhang
P. Chan
Battista Biggio
D. Yeung
Fabio Roli
AAML
54
226
0
25 May 2020
Rallying Adversarial Techniques against Deep Learning for Network Security
Joseph Clements
Yuzhe Yang
Ankur A Sharma
Hongxin Hu
Yingjie Lao
AAML
65
52
0
27 Mar 2019
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
Yisroel Mirsky
Tomer Doitshman
Yuval Elovici
A. Shabtai
81
814
0
25 Feb 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
315
12,131
0
19 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
131
1,864
0
20 May 2017
On Detecting Adversarial Perturbations
J. H. Metzen
Tim Genewein
Volker Fischer
Bastian Bischoff
AAML
63
950
0
14 Feb 2017
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
268
8,579
0
16 Aug 2016
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
306
4,428
0
29 Jun 2016
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
154
4,905
0
14 Nov 2015
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
282
19,121
0
20 Dec 2014
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
282
14,963
1
21 Dec 2013
1