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arXiv AI By Weimin Lyu

Backdoor Learning in Language Models and Vision-Language Models

Read the original on arXiv AI →

The paper discusses how recent progress in deep learning has improved Natural Language Processing and Vision‑Language Models, but also introduced new vulnerabilities, particularly backdoor attacks that threaten security. It explores methods for analyzing, detecting, and designing such attacks in both NLP and VLMs. Additionally, it proposes efficient multimodal representation techniques aimed at clinical and medical imaging applications.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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