2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025
MoKA: Mixture of Kronecker Adapters
Mohammadreza Sadeghi, Mahsa Ghazvini Nejad, MirHamed Jafarzadeh Asl +4
Parameter-efficient fine-tuning (PEFT) is essential for reducing the computational overhead of large language models (LLMs). Low-rank family adapters are commonly used to control t…
cs.LG2023★ 2 cited
-Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing
MirHamed Jafarzadeh Asl, Mohammadhadi Shateri, Fabrice Labeau
This paper adopts Arimoto's -Mutual Information as a tunable privacy measure, in a privacy-preserving data release setting that aims to prevent disclosing private data to advers…