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2020 – today
- 2024
[j14]Khushnaseeb Roshan
, Aasim Zafar, Sheikh Burhan Ul Haque:
Untargeted white-box adversarial attack with heuristic defence methods in real-time deep learning based network intrusion detection system. Comput. Commun. 218: 97-113 (2024)- [j13]Khushnaseeb Roshan, Aasim Zafar:
Black-box adversarial transferability: An empirical study in cybersecurity perspective. Comput. Secur. 141: 103853 (2024) - [j12]Khushnaseeb Roshan, Aasim Zafar:
AE-Integrated: Real-time network intrusion detection with Apache Kafka and autoencoder. Concurr. Comput. Pract. Exp. 36(11) (2024) - [j11]Khushnaseeb Roshan, Aasim Zafar:
Boosting robustness of network intrusion detection systems: A novel two phase defense strategy against untargeted white-box optimization adversarial attack. Expert Syst. Appl. 249: 123567 (2024) - [j10]Sheikh Burhan Ul Haque, Aasim Zafar:
Beyond accuracy and precision: a robust deep learning framework to enhance the resilience of face mask detection models against adversarial attacks. Evol. Syst. 15(1): 1-24 (2024) - [j9]Sheikh Burhan Ul Haque, Aasim Zafar:
Correction: Beyond accuracy and precision: a robust deep learning framework to enhance the resilience of face mask detection models against adversarial attacks. Evol. Syst. 15(3): 1113 (2024) - [j8]Sheikh Burhan Ul Haque, Aasim Zafar:
Untargeted white-box adversarial attack to break into deep learning based COVID-19 monitoring face mask detection system. Multim. Tools Appl. 83(8): 23873-23899 (2024) - [j7]Sheikh Burhan Ul Haque, Aasim Zafar:
Unlocking adversarial transferability: a security threat towards deep learning-based surveillance systems via black box inference attack- a case study on face mask surveillance. Multim. Tools Appl. 83(8): 24749-24775 (2024) - [i5]Khushnaseeb Roshan, Aasim Zafar:
Black-box Adversarial Transferability: An Empirical Study in Cybersecurity Perspective. CoRR abs/2404.10796 (2024) - 2023
- [j6]Faiza Farhat, Emmanuel Sirimal Silva, Hossein Hassani, Dag Øivind Madsen, Shahab Saquib Sohail, Yassine Himeur, M. Afshar Alam, Aasim Zafar:
The scholarly footprint of ChatGPT: a bibliometric analysis of the early outbreak phase. Frontiers Artif. Intell. 6 (2023) - [j5]Mohd Anas Wajid, Aasim Zafar, Hugo Terashima-Marín, Mohammad Saif Wajid:
Neutrosophic-CNN-based image and text fusion for multimodal classification. J. Intell. Fuzzy Syst. 45(1): 1039-1055 (2023) - [j4]Shaharyar Alam Ansari, Aasim Zafar:
Multi video summarization using query based deep optimization algorithm. Int. J. Mach. Learn. Cybern. 14(10): 3591-3606 (2023) - [j3]Sheikh Burhan Ul Haque, Aasim Zafar:
RRFMDS: Rapid Real-Time Face Mask Detection System for Effective COVID-19 Monitoring. SN Comput. Sci. 4(3): 288 (2023) - [i4]Khushnaseeb Roshan, Aasim Zafar:
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model. CoRR abs/2308.00074 (2023) - [i3]Khushnaseeb Roshan, Aasim Zafar, Sheikh Burhan Ul Haque:
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks. CoRR abs/2308.00077 (2023) - [i2]Khushnaseeb Roshan, Aasim Zafar, Sheikh Burhan Ul Haque:
Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System. CoRR abs/2310.03334 (2023) - 2022
- [j2]Aasim Zafar, Arshad Iqbal:
Application of soft computing techniques in machine reading of Quranic Kufic manuscripts. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part A): 3062-3069 (2022) - 2021
- [i1]Khushnaseeb Roshan, Aasim Zafar:
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP). CoRR abs/2112.08442 (2021)
2010 – 2019
- 2019
- [c1]Mohd Anas Wajid, Aasim Zafar:
Multimodal Information Access and Retrieval Notable Work and Milestones. ICCCNT 2019: 1-6 - 2015
- [j1]Aasim Zafar, Ibrahim A. Albidewi:
Evaluation study of eLGuide: A framework for adaptive e-learning. Comput. Appl. Eng. Educ. 23(4): 542-555 (2015)
Coauthor Index
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last updated on 2024-10-07 22:15 CEST by the dblp team
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