Sign inGet started
Dataset · Hugging Face

MLLMMU/MLLMU-Bench

Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench Abstract Generative models such as Large Language Models (LLM) and Multimodal Large Language models (MLLMs) trained on massive web corpora can memorize and disclose individuals' confidential and private data, raising legal and ethical concerns. While many previous works have addressed this issue in LLM via machine unlearning, it remains largely unexplored for MLLMs. To tackle this challenge, we… See the full description on the dataset page: https://huggingface.co/datasets/MLLMMU/MLLMU-Bench.

Author / organizationMLLMMU
Downloads727 (as reported by Hugging Face)
Likes6
Created30 October 2024
Last updated at source2 November 2024
Embed this entry
<iframe src="https://silytics.si/embed/item/ebbbd826-666a-4cad-8f14-41154dde23a6" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.