Mohammed Hassanin

According to our database, Mohammed Hassanin authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

PLLM-CS: Pre-trained Large Language Model (LLM) for cyber threat detection in satellite networks.

Mohammed Hassanin, Marwa Keshk, Sara Salim, Majid Alsubaie, Dharmendra Sharma

Ad Hoc Networks, 2025

2024

Dynamic Hypersphere Embedding Scale Against Adversarial Attacks.

Mohammed Hassanin, Nour Moustafa, Imran Razzak, M. Tanveer, David G. A. Ormrod, Jill Slay

IEEE Trans. Engineering Management, 2024

Visual attention methods in deep learning: An in-depth survey.

Mohammed Hassanin, Saeed Anwar, Ibrahim Radwan, Fahad Shahbaz Khan, Ajmal Mian

Inf. Fusion, 2024

A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions.

Mohammed Hassanin, Nour Moustafa

CoRR, 2024

Mixed fragmentation technique for securing structured data using multi-cloud environment (MFT-SSD).

Rabab Mohamed Nabawy, Mohammed Hassanin, Mohamed H. Ibrahim, Mostafa R. Kaseb

Ad Hoc Networks, 2024

2023

ICML 2023 Topological Deep Learning Challenge : Design and Results.

Mathilde Papillon, Mustafa Hajij, Florian Frantzen, Josef Hoppe, Helen Jenne, Johan Mathe, Audun Myers, Theodore Papamarkou, Michael T. Schaub, Ghada Zamzmi, Tolga Birdal, Tamal K. Dey, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Vincent P. Grande, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay, Jan Meissner, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Michael Scholkemper, Robin Walters, Jens Agerberg, Georg Bökman, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernárdez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Pavlo Melnyk, et al.

CoRR, 2023

ICML 2023 Topological Deep Learning Challenge: Design and Results.

Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane

Proceedings of the Topological, 2023

2022

Learning discriminative representations for multi-label image recognition.

Mohammed Hassanin, Ibrahim Radwan, Salman H. Khan, Murat Tahtali

J. Vis. Commun. Image Represent., 2022

Visual Affordance and Function Understanding: A Survey.

Mohammed Hassanin, Salman H. Khan, Murat Tahtali

ACM Comput. Surv., 2022

CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation.

Mohammed Hassanin, Abdelwahed Khamis, Mohammed Bennamoun, Farid Boussaïd, Ibrahim Radwan

CoRR, 2022

Rethinking maximum-margin softmax for adversarial robustness.

Mohammed Hassanin, Nour Moustafa, Murat Tahtali, Kim-Kwang Raymond Choo

Comput. Secur., 2022

2021

Mitigating the impact of adversarial attacks in very deep networks.

Mohammed Hassanin, Ibrahim Radwan, Nour Moustafa, Murat Tahtali, Neeraj Kumar

Appl. Soft Comput., 2021

2020

A New Localization Objective for Accurate Fine-Grained Affordance Segmentation Under High-Scale Variations.

Mohammed Hassanin, Salman H. Khan, Murat Tahtali

IEEE Access, 2020

A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models.

Mohammed Hassanin, Nour Moustafa, Murat Tahtali

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020