activity
20212025
most citedTraining Data Leakage Analysis in Language Models

22 citations · 89 across the 20 of their papers we have counts for

collaborators

21 papers

cs.MA2025

TinyTroupe: An LLM-powered Multiagent Persona Simulation Toolkit

Paulo Salem, Robert Sim, Christopher Olsen +3

Recent advances in Large Language Models (LLM) have led to a new class of autonomous agents, renewing and expanding interest in the area. LLM-powered Multiagent Systems (MAS) have…

cs.AI2025

Contextual Integrity in LLMs via Reasoning and Reinforcement Learning

Guangchen Lan, Huseyin A. Inan, Sahar Abdelnabi +5

As the era of autonomous agents making decisions on behalf of users unfolds, ensuring contextual integrity (CI) -- what is the appropriate information to share while carrying out a…

cs.LG2024

VLMGuard: Bootstrapping Malicious Prompt Detectors from Unlabeled Vision-Language Prompts in the Wild

Junlin Fang, Wenyu Chen, Reshmi Ghosh +7

Vision-language Models (VLMs) are essential for contextual understanding of both visual and textual information. However, their vulnerability to adversarially manipulated inputs pr…

cs.CL2024

What is Your Favorite Gender, MLM? Gender Bias Evaluation in Multilingual Masked Language Models

Jeongrok Yu, Seong Ug Kim, Jacob Choi +1

Bias is a disproportionate prejudice in favor of one side against another. Due to the success of transformer-based Masked Language Models (MLMs) and their impact on many NLP tasks,…

cs.CR2024

Differentially Private Training of Mixture of Experts Models

Pierre Tholoniat, Huseyin A. Inan, Janardhan Kulkarni +1

This position paper investigates the integration of Differential Privacy (DP) in the training of Mixture of Experts (MoE) models within the field of natural language processing. As…

cs.CR2023

Sandi: A System for Accountability and Applications in Direct Communication (Extended Abstract)

F. Betül Durak, Kim Laine, Simon Langowski +3

Reputation systems guide our decision making both in life and work: which restaurant to eat at, which vendor to buy from, which software dependencies to use, and who or what to tru…