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Ninghui Li

2 accepted papers

2026

Membership Inference Attacks Against Fine-tuned Diffusion Language Models

Yuetian Chen, Kaiyuan Zhang, Yuntao Du, Edoardo Stoppa, Charles Fleming, Ashish Kundu +2
ICLR 2026poster

Diffusion Language Models (DLMs) represent a promising alternative to autoregressive language models, using bidirectional masked token prediction. Yet their susceptibility to privacy leakage via Membership Inference Attacks (MIA) remains critically underexplored. This paper presents the first system…

Cited by 0Source ↗Scholar ↗
2023

Effective passive membership inference attacks in federated learning against overparameterized models

Jiacheng Li, Ninghui Li, Bruno Ribeiro
ICLR 2023poster

This work considers the challenge of performing membership inference attacks in a federated learning setting ---for image classification--- where an adversary can only observe the communication between the central node and a single client (a passive white-box attack). Passive attacks are one of the…

Cited by 21Source ↗PDF ↗Scholar ↗