1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Auditing Proprietary Alignment in Large Language Models: A Comparative Framework Without a Ground-Truth Standard
Alireza Arbabi, Florian Kerschbaum
Large language models (LLMs) are increasingly released and deployed through opaque development and deployment pipelines, enabling model providers to inject intentional, provider-sp…
cs.CL2025
Relative Bias: A Comparative Framework for Quantifying Bias in LLMs
Alireza Arbabi, Florian Kerschbaum
The growing deployment of large language models (LLMs) has amplified concerns regarding their inherent biases, raising critical questions about their fairness, safety, and societal…
cs.CR2023★ 1 cited
Mixing Solutions in Bitcoin and Ethereum Ecosystems: A Review and Tutorial
Alireza Arbabi, Ardeshir Shojaeinasab, Behnam Bahrak +1
This manuscript presents an exhaustive review of blockchain-based mixing services, aiming to fill the existing gap between academic innovations and real-world implementations. Star…