collaborators

5 papers

cs.CR2026

CPInj: Uncovering Prompt Injection Risks in Textual Collaborative Prompt Optimization

Xinting Liao, Behnoosh Zamanlooy, Masoumeh Shafieinejad +4

Textual Collaborative Prompt Optimization (TCPO) extends TextGrad (Yuksekgonul et al., 2025) to a decentralized setting by allowing multiple clients to jointly improve prompts for…

cs.LG2026

On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics

Masoumeh Shafieinejad, D. B. Emerson, Behnoosh Zamanlooy +5

Tabular data plays an important role in many fields and industries, including those with elevated privacy considerations and risks. As such, there is a rising interest in generatin…

cs.LG2026

MEMOA: Massive Mixtures of Online Agents via Mean-Field Decentralized Nash Equilibria

Xuwei Yang, David B. Emerson, Fatemeh Tavakoli +1

In the modern age of large-scale AI, federated learning has become an increasingly important tool for training large populations of AI agents; however, its computational and commun…

cs.CR2026

CAPID: Context-Aware PII Detection for Question-Answering Systems

Mariia Ponomarenko, Sepideh Abedini, Masoumeh Shafieinejad +3

Detecting personally identifiable information (PII) in user queries is critical for ensuring privacy in question-answering systems. Current approaches mainly redact all PII, disreg…

cs.LG2025

FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation Systems

Val Andrei Fajardo, David B. Emerson, Amandeep Singh +5

Retrieval-augmented generation (RAG) systems have been shown to be effective in addressing many of the drawbacks of relying solely on the parametric memory of large language models…