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The Threat of Adversarial Attacks on Machine Learning in Network
  Security -- A Survey
v1v2v3 (latest)

The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey

6 November 2019
Olakunle Ibitoye
Rana Abou-Khamis
Mohamed el Shehaby
Ashraf Matrawy
M. O. Shafiq
    AAML
ArXiv (abs)PDFHTML

Papers citing "The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey"

18 / 18 papers shown
Exploring the Effect of DNN Depth on Adversarial Attacks in Network Intrusion Detection Systems
Exploring the Effect of DNN Depth on Adversarial Attacks in Network Intrusion Detection Systems
Mohamed elShehaby
Ashraf Matrawy
AAML
127
0
0
22 Oct 2025
Mal-D2GAN: Double-Detector based GAN for Malware Generation
Mal-D2GAN: Double-Detector based GAN for Malware GenerationInternational Conference on Knowledge and Systems Engineering (KSE), 2024
Nam Hoang Thanh
Trung Pham Duy
Lam Bui Thu
263
2
0
24 May 2025
A Review of the Duality of Adversarial Learning in Network Intrusion:
  Attacks and Countermeasures
A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures
Shalini Saini
Anitha Chennamaneni
Babatunde Sawyerr
AAML
315
5
0
18 Dec 2024
Adversarial Challenges in Network Intrusion Detection Systems: Research
  Insights and Future Prospects
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future ProspectsIEEE Access (IEEE Access), 2024
Sabrine Ennaji
Fabio De Gaspari
Dorjan Hitaj
Alicia Kbidi
Luigi V. Mancini
AAML
587
32
0
27 Sep 2024
A Novel Perturb-ability Score to Mitigate Evasion Adversarial Attacks on Flow-Based ML-NIDS
A Novel Perturb-ability Score to Mitigate Evasion Adversarial Attacks on Flow-Based ML-NIDS
Mohamed elShehaby
Ashraf Matrawy
AAML
557
0
0
11 Sep 2024
Introducing Adaptive Continuous Adversarial Training (ACAT) to Enhance
  ML Robustness
Introducing Adaptive Continuous Adversarial Training (ACAT) to Enhance ML Robustness
Mohamed el Shehaby
Aditya Kotha
Ashraf Matrawy
AAML
263
2
0
15 Mar 2024
A chaotic maps-based privacy-preserving distributed deep learning for
  incomplete and Non-IID datasets
A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets
Irina Arévalo
Jose L. Salmeron
FedML
213
12
0
15 Feb 2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on
  Model Confidence
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence
Stephen Obadinma
Xiaodan Zhu
Ziqiao Wang
AAML
311
3
0
05 Jan 2024
Adversarial attacks and defenses on ML- and hardware-based IoT device
  fingerprinting and identification
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identificationFuture generations computer systems (FGCS), 2022
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Gérome Bovet
Gregorio Martínez Pérez
AAML
311
38
0
30 Dec 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR)
  for Metaverses
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for MetaversesACM Computing Surveys (ACM CSUR), 2022
Adnan Qayyum
M. A. Butt
Hassan Ali
Muhammad Usman
O. Halabi
Ala I. Al-Fuqaha
Q. Abbasi
Muhammad Ali Imran
Junaid Qadir
310
66
0
24 Oct 2022
Problem-Space Evasion Attacks in the Android OS: a Survey
Problem-Space Evasion Attacks in the Android OS: a Survey
Harel Berger
Chen Hajaj
A. Dvir
389
3
0
29 May 2022
Addressing Adversarial Machine Learning Attacks in Smart Healthcare
  Perspectives
Addressing Adversarial Machine Learning Attacks in Smart Healthcare Perspectives
A. Selvakkumar
S. Pal
Zahra Jadidi
AAML
194
20
0
16 Dec 2021
Adversarial Machine Learning In Network Intrusion Detection Domain: A
  Systematic Review
Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review
Huda Ali Alatwi
C. Morisset
AAML
288
29
0
06 Dec 2021
A Survey on Adversarial Attacks for Malware Analysis
A Survey on Adversarial Attacks for Malware AnalysisIEEE Access (IEEE Access), 2021
Kshitiz Aryal
Maanak Gupta
Mahmoud Abdelsalam
AAML
382
72
0
16 Nov 2021
Modeling Realistic Adversarial Attacks against Network Intrusion
  Detection Systems
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems
Giovanni Apruzzese
M. Andreolini
Luca Ferretti
Mirco Marchetti
M. Colajanni
AAML
359
147
0
17 Jun 2021
Know Your Model (KYM): Increasing Trust in AI and Machine Learning
Know Your Model (KYM): Increasing Trust in AI and Machine Learning
Mary Roszel
Robert Norvill
Jean Hilger
R. State
246
9
0
31 May 2021
Deep Neural Mobile Networking
Deep Neural Mobile Networking
Chaoyun Zhang
244
2
0
23 Oct 2020
Evaluation of Adversarial Training on Different Types of Neural Networks
  in Deep Learning-based IDSs
Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSsInternational Symposium on Networks, Computers and Communications (ISNCC), 2020
Rana Abou-Khamis
Ashraf Matrawy
AAML
223
61
0
08 Jul 2020
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