Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Zheyuan, Dou, Guangyao, Jia, Mengzhao, Tan, Zhaoxuan, Zeng, Qingkai, Yuan, Yongle, Jiang, Meng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Steering Multimodal Large Language Models Decoding for Context-Aware Safety
by: Liu, Zheyuan, et al.
Published: (2025)
by: Liu, Zheyuan, et al.
Published: (2025)
MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues
by: Liu, Zheyuan, et al.
Published: (2026)
by: Liu, Zheyuan, et al.
Published: (2026)
Machine Unlearning in Generative AI: A Survey
by: Liu, Zheyuan, et al.
Published: (2024)
by: Liu, Zheyuan, et al.
Published: (2024)
Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models
by: Liu, Zheyuan, et al.
Published: (2025)
by: Liu, Zheyuan, et al.
Published: (2025)
Towards Safer Large Language Models through Machine Unlearning
by: Liu, Zheyuan, et al.
Published: (2024)
by: Liu, Zheyuan, et al.
Published: (2024)
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
by: Tan, Zhaoxuan, et al.
Published: (2024)
by: Tan, Zhaoxuan, et al.
Published: (2024)
Can Large Language Models Understand Preferences in Personalized Recommendation?
by: Tan, Zhaoxuan, et al.
Published: (2025)
by: Tan, Zhaoxuan, et al.
Published: (2025)
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts
by: Tan, Zhaoxuan, et al.
Published: (2024)
by: Tan, Zhaoxuan, et al.
Published: (2024)
Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions
by: Kang, Diancheng, et al.
Published: (2026)
by: Kang, Diancheng, et al.
Published: (2026)
DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning
by: Wang, Yifan, et al.
Published: (2025)
by: Wang, Yifan, et al.
Published: (2025)
EmoBench: Evaluating the Emotional Intelligence of Large Language Models
by: Sabour, Sahand, et al.
Published: (2024)
by: Sabour, Sahand, et al.
Published: (2024)
Large Language Models Can Self-Correct with Key Condition Verification
by: Wu, Zhenyu, et al.
Published: (2024)
by: Wu, Zhenyu, et al.
Published: (2024)
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
by: Ding, Wenxuan, et al.
Published: (2023)
by: Ding, Wenxuan, et al.
Published: (2023)
MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis
by: Zhou, Yingjie, et al.
Published: (2024)
by: Zhou, Yingjie, et al.
Published: (2024)
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey
by: Ni, Bo, et al.
Published: (2025)
by: Ni, Bo, et al.
Published: (2025)
PsychCounsel-Bench: Evaluating the Psychology Intelligence of Large Language Models
by: Zeng, Min
Published: (2025)
by: Zeng, Min
Published: (2025)
PrivacyMind: Large Language Models Can Be Contextual Privacy Protection Learners
by: Xiao, Yijia, et al.
Published: (2023)
by: Xiao, Yijia, et al.
Published: (2023)
Dual-Space Smoothness for Robust and Balanced LLM Unlearning
by: Yan, Han, et al.
Published: (2025)
by: Yan, Han, et al.
Published: (2025)
TaskBench: Benchmarking Large Language Models for Task Automation
by: Shen, Yongliang, et al.
Published: (2023)
by: Shen, Yongliang, et al.
Published: (2023)
When Language Overrules: Revealing Text Dominance in Multimodal Large Language Models
by: Wu, Huyu, et al.
Published: (2025)
by: Wu, Huyu, et al.
Published: (2025)
Instant Personalized Large Language Model Adaptation via Hypernetwork
by: Tan, Zhaoxuan, et al.
Published: (2025)
by: Tan, Zhaoxuan, et al.
Published: (2025)
Can Language Models Solve Graph Problems in Natural Language?
by: Wang, Heng, et al.
Published: (2023)
by: Wang, Heng, et al.
Published: (2023)
EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models
by: Hu, He, et al.
Published: (2025)
by: Hu, He, et al.
Published: (2025)
BayLing 2: A Multilingual Large Language Model with Efficient Language Alignment
by: Zhang, Shaolei, et al.
Published: (2024)
by: Zhang, Shaolei, et al.
Published: (2024)
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples
by: Zeng, Qingkai, et al.
Published: (2024)
by: Zeng, Qingkai, et al.
Published: (2024)
MuBench: Assessment of Multilingual Capabilities of Large Language Models Across 61 Languages
by: Han, Wenhan, et al.
Published: (2025)
by: Han, Wenhan, et al.
Published: (2025)
ChatEL: Entity Linking with Chatbots
by: Ding, Yifan, et al.
Published: (2024)
by: Ding, Yifan, et al.
Published: (2024)
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain
by: Chen, Liang, et al.
Published: (2024)
by: Chen, Liang, et al.
Published: (2024)
IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations
by: Fu, Deqing, et al.
Published: (2024)
by: Fu, Deqing, et al.
Published: (2024)
BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting
by: Wang, Zhensheng, et al.
Published: (2026)
by: Wang, Zhensheng, et al.
Published: (2026)
Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models
by: Jia, Boyu, et al.
Published: (2025)
by: Jia, Boyu, et al.
Published: (2025)
Can Large Language Models Solve Robot Routing?
by: Huang, Zhehui, et al.
Published: (2024)
by: Huang, Zhehui, et al.
Published: (2024)
LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token
by: Zhang, Shaolei, et al.
Published: (2025)
by: Zhang, Shaolei, et al.
Published: (2025)
SproutBench: A Benchmark for Safe and Ethical Large Language Models for Youth
by: Xing, Wenpeng, et al.
Published: (2025)
by: Xing, Wenpeng, et al.
Published: (2025)
MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models
by: Zuo, Kaiwen, et al.
Published: (2024)
by: Zuo, Kaiwen, et al.
Published: (2024)
VerifyBench: Benchmarking Reference-based Reward Systems for Large Language Models
by: Yan, Yuchen, et al.
Published: (2025)
by: Yan, Yuchen, et al.
Published: (2025)
Sailor: Open Language Models for South-East Asia
by: Dou, Longxu, et al.
Published: (2024)
by: Dou, Longxu, et al.
Published: (2024)
MDIT-Bench: Evaluating the Dual-Implicit Toxicity in Large Multimodal Models
by: Jin, Bohan, et al.
Published: (2025)
by: Jin, Bohan, et al.
Published: (2025)
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models
by: Min, Qingkai, et al.
Published: (2024)
by: Min, Qingkai, et al.
Published: (2024)
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning
by: Liu, Zheyuan, et al.
Published: (2023)
by: Liu, Zheyuan, et al.
Published: (2023)
Similar Items
-
Steering Multimodal Large Language Models Decoding for Context-Aware Safety
by: Liu, Zheyuan, et al.
Published: (2025) -
MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues
by: Liu, Zheyuan, et al.
Published: (2026) -
Machine Unlearning in Generative AI: A Survey
by: Liu, Zheyuan, et al.
Published: (2024) -
Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models
by: Liu, Zheyuan, et al.
Published: (2025) -
Towards Safer Large Language Models through Machine Unlearning
by: Liu, Zheyuan, et al.
Published: (2024)