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Xiaofan Zheng

2 accepted papers

2025

Tracing Training Footprints: A Calibration Approach for Membership Inference Attacks Against Multimodal Large Language Models

EMNLP 2025

With the increasing scale of training data for Multimodal Large Language Models (MLLMs) and the lack of data details, there is growing concern about privacy breaches and data security issues. Under black-box access, exploring effective Membership Inference Attacks (MIA) has garnered increasing atten

Cited by 0SourcePDFScholar
2025

Unveiling Fake News with Adversarial Arguments Generated by Multimodal Large Language Models

COLING 2025main

In the era of social media, the proliferation of fake news has created an urgent need for more effective detection methods, particularly for multimodal content. The task of identifying fake news is highly challenging, as it requires broad background knowledge and understanding across various domains…

Cited by 1SourcePDFScholar