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Mohammad Fasha

Publications and source records attributed to Mohammad Fasha.

4 recordsLinked to original sources

Mitigating the OWASP Top 10 For Large Language Models Applications using Intelligent Agents

Large Language Models (LLMs) have emerged as a transformative and disruptive technology, enabling a wide range of applications in natural language processing, machine translation, and beyond. However, this widespread integration of LLMs also raised several security concerns highlighted by the Open Web Application Security Project (OWASP), which has identified the top 10 security vulnerabilities inherent in LLM applications. Addressing these vulnerabilities is crucial, given the increasing reliance on LLMs and the potential threats to data integrity, confidentiality, and service availability. This paper presents a framework designed to mitigate the security risks outlined in the OWASP Top 10. Our proposed model leverages LLM-enabled intelligent agents, offering a new approach to proactively identify, assess, and counteract security threats in real-time. The proposed framework serves as an initial blueprint for future research and development, aiming to enhance the security measures of LLMs and protect against emerging threats in this rapidly evolving landscape.

cs.CR

Implementing Parallel Quick Sort Algorithm on OTIS Hyper Hexa-Cell (OHHC) Interconnection Network

This work explores the characteristics of implementing parallel Quick Sort algorithm over the OTIS Hyper Hexa-Cell interconnection network OHHC. OHHC interconnection architecture offers efficient processor connectivity by utilizing both electronic and optical based connections. The work presented includes analytical evaluation of the algorithm as well as simulated evaluation over a multi-threading environment. Different experiments were performed using different OHHC dimensions, different integer array types and different array sizes. The evaluation and simulation demonstrated encouraging results that proposes the OHHC connectivity networks as a promising architecture.

cs.DC

Comparative Analysis for Quick Sort Algorithm under four Different Modes of Execution

This work presents a comparison for the performance of sequential sorting algorithms under four different modes of execution, the sequential processing mode, a conventional multi-threading implementation, multi-threading with OpenMP Library and finally parallel processing on a super computer. Quick Sort algorithm was selected to run the experiments performed by this effort and the algorithm was run using different arrays sizes and different number of processors. The results and findings were analyzed uncovering limitations as well as enhancement potentials of sequential sorting algorithms using parallelism.

cs.DC

A path to AI

To build a safe system that would replicate and perhaps transcend human-level intelligence, three basic modules: objective, agent, and perception are proposed for development. The objective module would ensure that the system acts in humanity's interest, not against it. It would have two components: a network of machine learning agents to address the problem of value alignment and a distributed ledger to propose a mechanism to mitigate the existential threat. The agent module would further develop the Dyna concept and benefit from a treatise in sociology to build the missing link of artificial general intelligence - a world simulator. The perception module would estimate the state of the world and benefit from existing machine learning algorithms enhanced by a new paradigm in hardware design - a quantum computer. This paper describes a way in which such a system could be built, analyzing the current state of the art and providing alternative directions for research rather than concrete, industry-ready solutions.

cs.CY