Aasim Zafar

Orcid: 0000-0003-1331-014X

According to our database1, Aasim Zafar authored at least 14 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Beyond accuracy and precision: a robust deep learning framework to enhance the resilience of face mask detection models against adversarial attacks.
Evol. Syst., February, 2024

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., 2024

Untargeted white-box adversarial attack to break into deep learning based COVID-19 monitoring face mask detection system.
Multim. Tools Appl., 2024

2023
Multi video summarization using query based deep optimization algorithm.
Int. J. Mach. Learn. Cybern., October, 2023

RRFMDS: Rapid Real-Time Face Mask Detection System for Effective COVID-19 Monitoring.
SN Comput. Sci., May, 2023

The scholarly footprint of ChatGPT: a bibliometric analysis of the early outbreak phase.
Frontiers Artif. Intell., February, 2023

Neutrosophic-CNN-based image and text fusion for multimodal classification.
J. Intell. Fuzzy Syst., 2023

Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System.
CoRR, 2023

A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks.
CoRR, 2023

Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model.
CoRR, 2023

2022
Application of soft computing techniques in machine reading of Quranic Kufic manuscripts.
J. King Saud Univ. Comput. Inf. Sci., 2022

2021
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP).
CoRR, 2021

2019
Multimodal Information Access and Retrieval Notable Work and Milestones.
Proceedings of the 10th International Conference on Computing, 2019

2015
Evaluation study of eLGuide: A framework for adaptive e-learning.
Comput. Appl. Eng. Educ., 2015


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