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Ivoline C. Ngong

2 accepted papers

2025

Differentially Private Learning Needs Better Model Initialization and Self-Distillation

NAACL 2025long

Differentially private SGD (DPSGD) enables privacy-preserving training of language models, but often reduces utility, diversity, and linguistic quality. We introduce DPRefine, a three-phase method that initializes a model using data synthesis from a small pre-trained LM with rigorous filtering, appl…

2025

Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents

ACL 2025finding

Conversational agents are increasingly woven into individuals’ personal lives, yet users often underestimate the privacy risks associated with them. The moment users share information with these agents —such as large language models (LLMs)— their private information becomes vulnerable to exposure. I…