6 citations · 14 across the 22 of their papers we have counts for
10 papers · 1 filter
Digital Agriculture Sandbox for Collaborative Research
Osama Zafar, Rosemarie Santa González, Alfonso Morales +1
Digital agriculture is transforming the way we grow food by utilizing technology to make farming more efficient, sustainable, and productive. This modern approach to agriculture ge…
Comparing Reconstruction Attacks on Pretrained Versus Full Fine-tuned Large Language Model Embeddings on Homo Sapiens Splice Sites Genomic Data
Reem Al-Saidi, Erman Ayday, Ziad Kobti
This study investigates embedding reconstruction attacks in large language models (LLMs) applied to genomic sequences, with a specific focus on how fine-tuning affects vulnerabilit…
Exploring Membership Inference Vulnerabilities in Clinical Large Language Models
Alexander Nemecek, Zebin Yun, Zahra Rahmani +4
As large language models (LLMs) become progressively more embedded in clinical decision-support, documentation, and patient-information systems, ensuring their privacy and trustwor…
PQFed: A Privacy-Preserving Quality-Controlled Federated Learning Framework
Weiqi Yue, Wenbiao Li, Yuzhou Jiang +3
Federated learning enables collaborative model training without sharing raw data, but data heterogeneity consistently challenges the performance of the global model. Traditional op…
Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research
Osama Zafar, Rosemarie Santa González, Mina Namazi +2
Data-driven agriculture, which integrates technology and data into agricultural practices, has the potential to improve crop yield, disease resilience, and long-term soil health. H…
A User-Centric, Privacy-Preserving, and Verifiable Ecosystem for Personal Data Management and Utilization
Osama Zafar, Mina Namazi, Yuqiao Xu +2
In the current paradigm of digital personalized services, the centralized management of personal data raises significant privacy concerns, security vulnerabilities, and diminished…