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Demystifying the Transferability of Adversarial Attacks in Computer
  Networks

Demystifying the Transferability of Adversarial Attacks in Computer Networks

9 October 2021
Ehsan Nowroozi
Yassine Mekdad
Mohammad Hajian Berenjestanaki
Mauro Conti
Abdeslam El Fergougui
    AAML
ArXivPDFHTML

Papers citing "Demystifying the Transferability of Adversarial Attacks in Computer Networks"

14 / 14 papers shown
Title
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
53
3
0
20 Nov 2023
Unscrambling the Rectification of Adversarial Attacks Transferability
  across Computer Networks
Unscrambling the Rectification of Adversarial Attacks Transferability across Computer Networks
Ehsan Nowroozi
Samaneh Ghelichkhani
Imran Haider
Ali Dehghantanha
AAML
16
0
0
26 Oct 2023
Spritz-PS: Validation of Synthetic Face Images Using a Large Dataset of
  Printed Documents
Spritz-PS: Validation of Synthetic Face Images Using a Large Dataset of Printed Documents
Ehsan Nowroozi
Yoosef Habibi
Mauro Conti
CVBM
23
3
0
06 Apr 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A
  Contemporary Survey
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey
Yulong Wang
Tong Sun
Shenghong Li
Xinnan Yuan
W. Ni
E. Hossain
H. Vincent Poor
AAML
24
17
0
11 Mar 2023
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action
  Recognition
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition
Rohit Gupta
Naveed Akhtar
Gaurav Kumar Nayak
Ajmal Saeed Mian
M. Shah
AAML
26
1
0
23 Nov 2022
Employing Deep Ensemble Learning for Improving the Security of Computer
  Networks against Adversarial Attacks
Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks
Ehsan Nowroozi
Mohammadreza Mohammadi
E. Savaş
Mauro Conti
Yassine Mekdad
AAML
24
8
0
25 Sep 2022
Resisting Deep Learning Models Against Adversarial Attack
  Transferability via Feature Randomization
Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization
Ehsan Nowroozi
Mohammadreza Mohammadi
Pargol Golmohammadi
Yassine Mekdad
Mauro Conti
Selcuk Uluagac
AAML
SILM
21
13
0
11 Sep 2022
Using adversarial images to improve outcomes of federated learning for
  non-IID data
Using adversarial images to improve outcomes of federated learning for non-IID data
Anastasiya Danilenka
M. Ganzha
M. Paprzycki
Jacek Mañdziuk
FedML
17
1
0
16 Jun 2022
An Adversarial Attack Analysis on Malicious Advertisement URL Detection
  Framework
An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework
Ehsan Nowroozi
A. Abhishek
Mohammadreza Mohammadi
Mauro Conti
AAML
33
30
0
27 Apr 2022
A Survey on Security and Privacy Issues of UAVs
A Survey on Security and Privacy Issues of UAVs
Yassine Mekdad
Ahmet Aris
Leonardo Babun
Abdeslam El Fergougui
Mauro Conti
Riccardo Lazzeretti
A. S. Uluagac
26
127
0
29 Sep 2021
A Survey on Ransomware: Evolution, Taxonomy, and Defense Solutions
A Survey on Ransomware: Evolution, Taxonomy, and Defense Solutions
Harun Oz
Ahmet Aris
A. Levi
A. S. Uluagac
38
145
0
11 Feb 2021
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
68
192
0
31 Jan 2021
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,830
0
08 Jul 2016
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in
  Natural Images
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
Andreas Veit
Tomas Matera
Lukás Neumann
Jirí Matas
Serge J. Belongie
180
515
0
26 Jan 2016
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