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SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network
  Intrusion Detection

SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection

13 August 2023
João Vitorino
Isabel Praça
Eva Maia
    AAML
ArXivPDFHTML

Papers citing "SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection"

9 / 9 papers shown
Title
Deep Generative Models for Subgraph Prediction
Deep Generative Models for Subgraph Prediction
Erfaneh Mahmoudzadeh
Parmis Naddaf
Kiarash Zahirnia
Oliver Schulte
BDL
GNN
21
0
0
07 Aug 2024
Adversarial Evasion Attack Efficiency against Large Language Models
Adversarial Evasion Attack Efficiency against Large Language Models
João Vitorino
Eva Maia
Isabel Praça
AAML
31
2
0
12 Jun 2024
Reliable Feature Selection for Adversarially Robust Cyber-Attack
  Detection
Reliable Feature Selection for Adversarially Robust Cyber-Attack Detection
João Vitorino
Miguel Silva
Eva Maia
Isabel Praça
AAML
24
6
0
05 Apr 2024
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning
Mohamed el Shehaby
Ashraf Matrawy
AAML
14
7
0
08 Jun 2023
Constrained Adversarial Learning for Automated Software Testing: a literature review
Constrained Adversarial Learning for Automated Software Testing: a literature review
João Vitorino
Tiago Dias
Tiago Fonseca
Eva Maia
Isabel Praça
AAML
16
6
0
14 Mar 2023
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
B. Wen
Qian Wang
AAML
68
467
0
02 Feb 2021
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
175
271
0
03 Dec 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,813
0
08 Jul 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,300
0
28 May 2015
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