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ORCIDMohammed Hassanin
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2020 – today
- 2025
[j9]Mohammed Hassanin
, Marwa Keshk, Sara Salim, Majid Alsubaie, Dharmendra Sharma:
PLLM-CS: Pre-trained Large Language Model (LLM) for cyber threat detection in satellite networks. Ad Hoc Networks 166: 103645 (2025)- 2024
- [j8]Rabab Mohamed Nabawy, Mohammed Hassanin, Mohamed H. Ibrahim, Mostafa R. Kaseb:
Mixed fragmentation technique for securing structured data using multi-cloud environment (MFT-SSD). Ad Hoc Networks 164: 103625 (2024) - [j7]Mohammed Hassanin, Saeed Anwar, Ibrahim Radwan, Fahad Shahbaz Khan, Ajmal Mian:
Visual attention methods in deep learning: An in-depth survey. Inf. Fusion 108: 102417 (2024) - [j6]Mohammed Hassanin, Nour Moustafa, Imran Razzak, M. Tanveer, David G. A. Ormrod, Jill Slay:
Dynamic Hypersphere Embedding Scale Against Adversarial Attacks. IEEE Trans. Engineering Management 71: 12475-12486 (2024) - [i9]Mohammed Hassanin, Marwa Keshk, Sara Salim, Majid Alsubaie, Dharmendra Sharma:
PLLM-CS: Pre-trained Large Language Model (LLM) for Cyber Threat Detection in Satellite Networks. CoRR abs/2405.05469 (2024) - [i8]Mohammed Hassanin, Nour Moustafa:
A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions. CoRR abs/2405.14487 (2024) - 2023
- [c2]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:
ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 2023: 3-8 - [i7]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.:
ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR abs/2309.15188 (2023) - 2022
- [j5]Mohammed Hassanin, Nour Moustafa, Murat Tahtali, Kim-Kwang Raymond Choo:
Rethinking maximum-margin softmax for adversarial robustness. Comput. Secur. 116: 102640 (2022) - [j4]Mohammed Hassanin, Salman H. Khan, Murat Tahtali:
Visual Affordance and Function Understanding: A Survey. ACM Comput. Surv. 54(3): 47:1-47:35 (2022) - [j3]Mohammed Hassanin, Ibrahim Radwan, Salman H. Khan, Murat Tahtali:
Learning discriminative representations for multi-label image recognition. J. Vis. Commun. Image Represent. 83: 103448 (2022) - [i6]Mohammed Hassanin, Abdelwahed Khamis, Mohammed Bennamoun, Farid Boussaïd, Ibrahim Radwan:
CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation. CoRR abs/2203.13387 (2022) - [i5]Mohammed Hassanin, Saeed Anwar, Ibrahim Radwan, Fahad Shahbaz Khan, Ajmal S. Mian:
Visual Attention Methods in Deep Learning: An In-Depth Survey. CoRR abs/2204.07756 (2022) - 2021
- [j2]Mohammed Hassanin, Ibrahim Radwan, Nour Moustafa, Murat Tahtali, Neeraj Kumar:
Mitigating the impact of adversarial attacks in very deep networks. Appl. Soft Comput. 105: 107231 (2021) - [i4]Mohammed Hassanin, Ibrahim Radwan, Salman H. Khan, Murat Tahtali:
Learning Discriminative Representations for Multi-Label Image Recognition. CoRR abs/2107.11159 (2021) - 2020
- [j1]Mohammed Hassanin, Salman H. Khan, Murat Tahtali:
A New Localization Objective for Accurate Fine-Grained Affordance Segmentation Under High-Scale Variations. IEEE Access 8: 28123-28132 (2020) - [c1]Mohammed Hassanin, Nour Moustafa, Murat Tahtali:
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models. SSCI 2020: 1499-1505 - [i3]Mohammed Hassanin, Nour Moustafa, Murat Tahtali:
A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models. CoRR abs/2012.04734 (2020) - [i2]Mohammed Hassanin, Ibrahim Radwan, Nour Moustafa, Murat Tahtali, Neeraj Kumar:
Mitigating the Impact of Adversarial Attacks in Very Deep Networks. CoRR abs/2012.04750 (2020)
2010 – 2019
- 2018
- [i1]Mohammed Hassanin, Salman H. Khan, Murat Tahtali:
Visual Affordance and Function Understanding: A Survey. CoRR abs/1807.06775 (2018)
Coauthor Index
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