Zobrazeno 1 - 10
of 62 279
pro vyhledávání: '"Abdulrahman AT"'
The increasing complexity and scale of modern digital environments have exposed significant gaps in traditional cybersecurity penetration testing methods, which are often time-consuming, labor-intensive, and unable to rapidly adapt to emerging threat
Externí odkaz:
http://arxiv.org/abs/2409.03789
Crop field detection is a critical component of precision agriculture, essential for optimizing resource allocation and enhancing agricultural productivity. This study introduces KonvLiNA, a novel framework that integrates Convolutional Kolmogorov-Ar
Externí odkaz:
http://arxiv.org/abs/2408.13160
Autor:
Chukkol, Abdulrahman Hamman Adama, Luo, Senlin, Sharif, Kashif, Haruna, Yunusa, Abdullahi, Muhammad Muhammad
Binary program vulnerability detection is critical for software security, yet existing deep learning approaches often rely on source code analysis, limiting their ability to detect unknown vulnerabilities. To address this, we propose VulCatch, a bina
Externí odkaz:
http://arxiv.org/abs/2408.07181
Autor:
Al-Hussein, AbdulRahman
In this paper, we study the existence and uniqueness of solution to a system of nonlinear fully coupled forward-backward doubly stochastic differential equations with Poisson jumps. Our work is established in infinite dimensional separable Hilbert sp
Externí odkaz:
http://arxiv.org/abs/2407.08413
The recent emergence of hybrid models has introduced another transformative approach to solving computer vision tasks, slowly shifting away from conventional CNN (Convolutional Neural Network) and ViT (Vision Transformer). However, not enough effort
Externí odkaz:
http://arxiv.org/abs/2407.07603
This paper studies the usefulness of incorporating path information in predicting chemical properties from molecular graphs, in the domain of QSAR (Quantitative Structure-Activity Relationship). Towards this, we developed a GNN-style model which can
Externí odkaz:
http://arxiv.org/abs/2407.14270
Autor:
Abdulaziz, Abdulrahman
In this paper, we introduce a couple of dynamical systems that are related to the Chaos Game. We begin by discussing different methods of generating the Sierpinski gasket. Then we show how the transition from random to uniform selection reduces the S
Externí odkaz:
http://arxiv.org/abs/2407.02506
This paper investigates first the existence and uniqueness of solutions for McKean-Vlasov forward-backward doubly stochastic differential equations (MV-FBDSDEs) in infinite-dimensional real separable Hilbert spaces. These equations combine the featur
Externí odkaz:
http://arxiv.org/abs/2406.07881
Autor:
Alabdulkareem, Abdulrahman, Arnold, Christian M, Lee, Yerim, Feenstra, Pieter M, Katz, Boris, Barbu, Andrei
Traditional security mechanisms isolate resources from users who should not access them. We reflect the compositional nature of such security mechanisms back into the structure of LLMs to build a provably secure LLM; that we term SecureLLM. Other app
Externí odkaz:
http://arxiv.org/abs/2405.09805
We study the problem of privacy-preserving $k$-means clustering in the horizontally federated setting. Existing federated approaches using secure computation, suffer from substantial overheads and do not offer output privacy. At the same time, differ
Externí odkaz:
http://arxiv.org/abs/2405.02437