Copertina

Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Yubo, Tang, Jianting, Liu, Chaohu, Xu, Linli
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens of Large Vision-Language Models
di: Wang, Yubo, et al.
Pubblicazione: (2024)

FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing
di: Wang, Shida, et al.
Pubblicazione: (2025)

AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization
di: Liu, Chaohu, et al.
Pubblicazione: (2025)

BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models
di: Tang, Jianting, et al.
Pubblicazione: (2025)

Input Domain Aware MoE: Decoupling Routing Decisions from Task Optimization in Mixture of Experts
di: Hua, Yongxiang, et al.
Pubblicazione: (2025)

CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs
di: Tang, Jianting, et al.
Pubblicazione: (2025)

Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks
di: Li, Yubo, et al.
Pubblicazione: (2025)

Domain Adversarial Active Learning for Domain Generalization Classification
di: Chen, Jianting, et al.
Pubblicazione: (2024)

SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
di: Xu, Tianyang, et al.
Pubblicazione: (2025)

Dynamic Adversarial Reinforcement Learning for Robust Multimodal Large Language Models
di: Bao, Yicheng, et al.
Pubblicazione: (2026)

Large Language Model Agent for Hyper-Parameter Optimization
di: Liu, Siyi, et al.
Pubblicazione: (2024)

FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning
di: Nguyen, Duy Phuong, et al.
Pubblicazione: (2024)

Exploring the Adversarial Capabilities of Large Language Models
di: Struppek, Lukas, et al.
Pubblicazione: (2024)

Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
di: Yuan, Hongbang, et al.
Pubblicazione: (2024)

Adversarial Reinforcement Learning for Large Language Model Agent Safety
di: Wang, Zizhao, et al.
Pubblicazione: (2025)

Personalized Wireless Federated Learning for Large Language Models
di: Jiang, Feibo, et al.
Pubblicazione: (2024)

Revis: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language Models
di: Wu, Jialin, et al.
Pubblicazione: (2026)

Imitating from auxiliary imperfect demonstrations via Adversarial Density Weighted Regression
di: Zhang, Ziqi, et al.
Pubblicazione: (2024)

AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models
di: Yeh, Cheng-Kai, et al.
Pubblicazione: (2025)

Understanding and Guiding Layer Placement in Parameter-Efficient Fine-Tuning of Large Language Models
di: Xu, Yichen, et al.
Pubblicazione: (2026)

BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
di: Xu, Peng, et al.
Pubblicazione: (2024)

Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning
di: Lee, Younghwan, et al.
Pubblicazione: (2025)

Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models
di: Tayebati, Sina, et al.
Pubblicazione: (2025)

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
di: Chen, Zhikai, et al.
Pubblicazione: (2023)

Recurrent Diffusion for Large-Scale Parameter Generation
di: Wang, Kai, et al.
Pubblicazione: (2025)

When Continue Learning Meets Multimodal Large Language Model: A Survey
di: Huo, Yukang, et al.
Pubblicazione: (2025)

Human Alignment of Large Language Models through Online Preference Optimisation
di: Calandriello, Daniele, et al.
Pubblicazione: (2024)

A Bayesian Hybrid Parameter-Efficient Fine-Tuning Method for Large Language Models
di: Chai, Yidong, et al.
Pubblicazione: (2025)

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model
di: Wang, Naibo, et al.
Pubblicazione: (2025)

AnyAttack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
di: Zhang, Jiaming, et al.
Pubblicazione: (2024)

Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness
di: Guo, Kai, et al.
Pubblicazione: (2024)

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization
di: Nguyen, Thanh Thi, et al.
Pubblicazione: (2025)

AGFT: Alignment-Guided Fine-Tuning for Zero-Shot Adversarial Robustness of Vision-Language Models
di: Cui, Yubo, et al.
Pubblicazione: (2026)

PCoreSet: Effective Active Learning through Knowledge Distillation from Vision-Language Models
di: Kang, Seongjae, et al.
Pubblicazione: (2025)

Understanding Model Ensemble in Transferable Adversarial Attack
di: Yao, Wei, et al.
Pubblicazione: (2024)

Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
di: Shu, Yao, et al.
Pubblicazione: (2024)

Reinforcement Learning with Promising Tokens for Large Language Models
di: Pang, Jing-Cheng, et al.
Pubblicazione: (2026)

Protecting Copyright of Medical Pre-trained Language Models: Training-Free Backdoor Model Watermarking
di: Kong, Cong, et al.
Pubblicazione: (2024)

On Predictability of Reinforcement Learning Dynamics for Large Language Models
di: Cai, Yuchen, et al.
Pubblicazione: (2025)

Systematic Outliers in Large Language Models
di: An, Yongqi, et al.
Pubblicazione: (2025)