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Typography Leads Semantic Diversifying: Amplifying Adversarial
  Transferability across Multimodal Large Language Models

Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models

30 May 2024
Hao-Ran Cheng
Erjia Xiao
Jiahang Cao
Le Yang
Kaidi Xu
Jindong Gu
Renjing Xu
    AAML
ArXivPDFHTML

Papers citing "Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models"

3 / 3 papers shown
Title
SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models
SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models
Justus Westerhoff
Erblina Purellku
Jakob Hackstein
Jonas Loos
Leo Pinetzki
Lorenz Hufe
AAML
25
0
0
07 Apr 2025
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts
  on Vision-Language Models
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models
Haochen Luo
Jindong Gu
Fengyuan Liu
Philip H. S. Torr
VLM
VPVLM
AAML
34
19
0
14 Mar 2024
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
244
4,186
0
30 Jan 2023
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