Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Benchmarking Large Multimodal Models against Common Corruptions
Cover Image

Benchmarking Large Multimodal Models against Common Corruptions

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Zhang, Jiawei, Pang, Tianyu, Du, Chao, Ren, Yi, Li, Bo, Lin, Min
Format: Preprint
Published: 2024
Subjects:
Machine Learning
Computation and Language
Cryptography and Security
Computer Vision and Pattern Recognition
Multimedia
Online Access:
Acceder al recurso
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2401.11943

Similar Items

  • Test-Time Backdoor Attacks on Multimodal Large Language Models
    by: Lu, Dong, et al.
    Published: (2024)
  • Universally Unfiltered and Unseen:Input-Agnostic Multimodal Jailbreaks against Text-to-Image Model Safeguards
    by: Yan, Song, et al.
    Published: (2025)
  • DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection
    by: Zhao, Kangran, et al.
    Published: (2025)
  • Improving Adversarial Transferability of Vision-Language Pre-training Models through Collaborative Multimodal Interaction
    by: Fu, Jiyuan, et al.
    Published: (2024)
  • VideoSTF: Stress-Testing Output Repetition in Video Large Language Models
    by: Cao, Yuxin, et al.
    Published: (2026)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar