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20242026
most citedInadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

58 citations · 59 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CR2026

SoK: Secure Software-Based Multi-Domain Data Segregation

Quang Cao, Peter Vinci, Nick Georghiou +3

Modern mission-critical coordination demands seamless communication across multiple domains. Traditionally, Voice Communication Systems (VCS) have relied on physically separated Re…

cs.CR2026

SoK: Post-Quantum Cryptography Implementation in Software: Approaches, Challenges and the PQC-HOT Framework

R. D. N. Shakya, C. P. Wijesiriwardana, S. M. Vidanagamachchi +1

Secure implementation of post-quantum cryptography (PQC) requires attention to cryptographic mechanisms, software integration, developer capability, and organisational support. Und…

cs.CR2026

Secure Coding Drift in LLM-Assisted Post-Quantum Cryptography Development: A Gamified Fix

R. D. N. Shakya, C. P. Wijesiriwardana, S. M. Vidanagamachchi +1

The transition to Post Quantum Cryptography (PQC) introduces considerable implementation complexity, requiring strict adherence to constant-time execution, side channel resistance,…

cs.SE2026

Security Concerns in Generative AI Coding Assistants: Insights from Online Discussions on GitHub Copilot

Nicolás E. Díaz Ferreyra, Monika Swetha Gurupathi, Zadia Codabux +2

Generative Artificial Intelligence (GenAI) has become a central component of many development tools (e.g., GitHub Copilot) that support software practitioners across multiple progr…

cs.SE2025

How Are We Doing With Using AI-Based Programming Assistants For Privacy-Related Code Generation? The Developers' Experience

Kashumi Madampe, John Grundy, Nalin Arachchilage

With generative AI becoming widespread, the existence of AI-based programming assistants for developers is no surprise. Developers increasingly use them for their work, including g…

cs.SE2024★ 1 cited

The Good, the Bad, and the (Un)Usable: A Rapid Literature Review on Privacy as Code

Nicolás E. Díaz Ferreyra, Sirine Khelifi, Nalin Arachchilage +1

Privacy and security are central to the design of information systems endowed with sound data protection and cyber resilience capabilities. Still, developers often struggle to inco…

cs.CR2024

Examining Attacks on Consensus and Incentive Systems in Proof-of-Work Blockchains: A Systematic Literature Review

Dinitha Wijewardhana, Sugandima Vidanagamachchi, Nalin Arachchilage

Cryptocurrencies have gained popularity due to their transparency, security, and accessibility compared to traditional financial systems, with Bitcoin, introduced in 2009, leading…

cs.AI2024★ 58 cited

Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

Timothy R. McIntosh, Teo Susnjak, Nalin Arachchilage +3

The rapid rise in popularity of Large Language Models (LLMs) with emerging capabilities has spurred public curiosity to evaluate and compare different LLMs, leading many researcher…