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Haijian Ma

2 accepted papers

2025

Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models

NeurIPS 2025poster

Although Multimodal Large Language Models (MLLMs) have demonstrated remarkable achievements in recent years, they remain vulnerable to adversarial examples that result in harmful responses. Existing attacks typically focus on optimizing adversarial perturbations for a certain multimodal image-prompt…

Cited by 0SourceScholar
2025

Learning from Few Samples: A Novel Approach for High-Quality Malcode Generation

EMNLP 2025

Intrusion Detection Systems (IDS) play a crucial role in network security defense. However, a significant challenge for IDS in training detection models is the shortage of adequately labeled malicious samples. To address these issues, this paper introduces a novel semi-supervised framework GANGRL-LL

Cited by 0SourcePDFScholar