Khalid N. Ismail

17 papers C 1Misc 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
HMSA-Net: A hierarchical multi-scale aggregation network for multimodal biomedical image segmentation.
Comput. Electr. Eng.
Amr Magdy, Mahmoud Hassaballah, Marghny H. Mohamed, Mohammed M. Abdelsamea, Khalid N. Ismail
2025 J jnl
Deep behavioral analysis of machine learning algorithms against data poisoning.
Int. J. Inf. Sec.
Anum Paracha, Junaid Arshad, Mohamed Ben Farah, Khalid N. Ismail
2025 — conf
O-RAN Assistant: Leveraging RAG for Installation, Configuration, and Information for O-RAN.
INFOCOM WKSHPS
Haitham H. Mahmoud, Yunsheng Zhang, Chen Lu, Vishalji Odedra, Khalid N. Ismail, De Mi, Ziming He, Feng Chen, Haoting Liu
2025 J jnl
Outlier-oriented poisoning attack: a grey-box approach to disturb decision boundaries by perturbing outliers in multiclass learning.
Int. J. Inf. Sec.
Anum Paracha, Junaid Arshad, Mohamed Ben Farah, Khalid N. Ismail
2025 J jnl
PolyRes-Net: A Polyhierarchical Residual Network for Decoding Anatomical Complexity in Medical Image Segmentation.
IEEE Access
Amr Magdy, Khalid N. Ismail, Marghny H. Mohamed, Mahmoud Hassaballah, Haitham H. Mahmoud, Mohammed M. Abdelsamea
2025 J jnl
SecureLearn - An Attack-agnostic Defense for Multiclass Machine Learning Against Data Poisoning Attacks.
CoRR
Anum Paracha, Junaid Arshad, Mohamed Ben Farah, Khalid N. Ismail
2024 J jnl
DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification.
IEEE Open J. Comput. Soc.
Suhaib Chughtai, Zakaria Senousy, Ahmed Mahany, Nouh Sabri Elmitwally, Khalid N. Ismail, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2024 J jnl
DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications.
CoRR
Li Li, Khalid N. Ismail, Hubert P. H. Shum, Toby P. Breckon
2024 Misc conf
Exploring Data Poisoning Attacks Against Adversarially Trained Skin Cancer Diagnostics.
UCC
Anum Paracha, Junaid Arshad, Mohamed Ben Farah, Khalid N. Ismail
2024 J jnl
Machine learning security and privacy: a review of threats and countermeasures.
EURASIP J. Inf. Secur.
Anum Paracha, Junaid Arshad, Mohamed Ben Farah, Khalid N. Ismail
2024 J jnl
Outlier-Oriented Poisoning Attack: A Grey-box Approach to Disturb Decision Boundaries by Perturbing Outliers in Multiclass Learning.
CoRR
Anum Paracha, Junaid Arshad, Mohamed Ben Farah, Khalid N. Ismail
2021 — conf
DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications.
3DV
Li Li, Khalid N. Ismail, Hubert P. H. Shum, Toby P. Breckon
2020 J jnl
Cancelable multi-biometric recognition system based on deep learning.
Vis. Comput.
Essam Abdellatef, Nabil A. Ismail, Salah Eldin S. E. Abd Elrahman, Khalid N. Ismail, Mohamed Rihan, Fathi E. Abd El-Samie
2020 J jnl
Fusion of deep-learned and hand-crafted features for cancelable recognition systems.
Soft Comput.
Essam Abdellatef, Eman M. Omran, Randa F. Soliman, Nabil A. Ismail, Salah Eldin S. E. Abd Elrahman, Khalid N. Ismail, Mohamed Rihan, Fathi E. Abd El-Samie, Ayman A. Eisa
2019 J jnl
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening.
CoRR
Qian Wang, Khalid N. Ismail, Toby P. Breckon
2019 J jnl
Cancelable fusion-based face recognition.
Multim. Tools Appl.
Essam Abdellatef, Nabil A. Ismail, Salah Eldin S. E. Abd Elrahman, Khalid N. Ismail, Mohamed Rihan, Fathi E. Abd El-Samie
2019 C conf
On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene Understanding.
ICMLA
Khalid N. Ismail, Toby P. Breckon