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SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models
v1v2v3v4v5 (latest)

SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models

7 April 2025
Justus Westerhoff
Erblina Purellku
Jakob Hackstein
Jonas Loos
Leo Pinetzki
Lorenz Hufe
    AAML
ArXiv (abs)PDFHTML

Papers citing "SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models"

40 / 40 papers shown
Title
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Michael Tschannen
A. Gritsenko
Xiao Wang
Muhammad Ferjad Naeem
Ibrahim Alabdulmohsin
...
Basil Mustafa
Olivier J. Hénaff
Jeremiah Harmsen
Andreas Steiner
Xiaohua Zhai
VLM
132
79
0
21 Feb 2025
Does Prompt Formatting Have Any Impact on LLM Performance?
Does Prompt Formatting Have Any Impact on LLM Performance?
Jia He
Mukund Rungta
David Koleczek
Arshdeep Sekhon
Franklin X Wang
Sadid Hasan
LLMAGLRM
82
57
0
15 Nov 2024
GPT-4o System Card
GPT-4o System Card
OpenAI OpenAI
:
Aaron Hurst
Adam Lerer
Adam P. Goucher
...
Yuchen He
Yuchen Zhang
Yujia Jin
Yunxing Dai
Yury Malkov
MLLM
202
1,019
0
25 Oct 2024
Empirical Analysis of Large Vision-Language Models against Goal
  Hijacking via Visual Prompt Injection
Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection
Subaru Kimura
Ryota Tanaka
Shumpei Miyawaki
Jun Suzuki
Keisuke Sakaguchi
MLLM
66
7
0
07 Aug 2024
On the Worst Prompt Performance of Large Language Models
On the Worst Prompt Performance of Large Language Models
Bowen Cao
Deng Cai
Zhisong Zhang
Yuexian Zou
Wai Lam
ALMLRM
68
8
0
08 Jun 2024
Typography Leads Semantic Diversifying: Amplifying Adversarial
  Transferability across Multimodal Large Language Models
Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models
Hao-Ran Cheng
Erjia Xiao
Jiahang Cao
Le Yang
Kaidi Xu
Jindong Gu
Renjing Xu
AAML
118
10
0
30 May 2024
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving
  with Typography
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography
N. Chung
Sensen Gao
Tuan-Anh Vu
Jie M. Zhang
Aishan Liu
Yun Lin
Jin Song Dong
Qi Guo
AAML
92
11
0
23 May 2024
Understanding Retrieval-Augmented Task Adaptation for Vision-Language
  Models
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
Yifei Ming
Yixuan Li
VLM
110
8
0
02 May 2024
Vision-Language Models for Medical Report Generation and Visual Question
  Answering: A Review
Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review
Iryna Hartsock
Ghulam Rasool
87
79
0
04 Mar 2024
Unveiling Typographic Deceptions: Insights of the Typographic
  Vulnerability in Large Vision-Language Model
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model
Hao-Ran Cheng
Erjia Xiao
Jindong Gu
Le Yang
Jinhao Duan
Jize Zhang
Jiahang Cao
Kaidi Xu
Renjing Xu
72
9
0
29 Feb 2024
Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks
Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks
Maan Qraitem
Nazia Tasnim
Piotr Teterwak
Kate Saenko
Bryan A. Plummer
AAMLVLM
76
12
0
01 Feb 2024
State of What Art? A Call for Multi-Prompt LLM Evaluation
State of What Art? A Call for Multi-Prompt LLM Evaluation
Moran Mizrahi
Guy Kaplan
Daniel Malkin
Rotem Dror
Dafna Shahaf
Gabriel Stanovsky
ELM
91
147
0
31 Dec 2023
CLIP in Medical Imaging: A Comprehensive Survey
CLIP in Medical Imaging: A Comprehensive Survey
Zihao Zhao
Yuxiao Liu
Han Wu
Yonghao Li
Sheng Wang
L. Teng
Disheng Liu
Zhiming Cui
Qian Wang
Dinggang Shen
CLIPMedImLM&MAVLM
91
43
0
12 Dec 2023
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
Yichen Gong
Delong Ran
Jinyuan Liu
Conglei Wang
Tianshuo Cong
Anyu Wang
Sisi Duan
Xiaoyun Wang
MLLM
218
158
0
09 Nov 2023
Vision Language Models in Autonomous Driving: A Survey and Outlook
Vision Language Models in Autonomous Driving: A Survey and Outlook
Xingcheng Zhou
Mingyu Liu
Ekim Yurtsever
B. L. Žagar
Walter Zimmer
Hu Cao
Alois C. Knoll
VLM
70
59
0
22 Oct 2023
Improved Baselines with Visual Instruction Tuning
Improved Baselines with Visual Instruction Tuning
Haotian Liu
Chunyuan Li
Yuheng Li
Yong Jae Lee
VLMMLLM
130
2,807
0
05 Oct 2023
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and
  Latent Diffusion
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion
Anton Razzhigaev
Arseniy Shakhmatov
Anastasia Maltseva
V.Ya. Arkhipkin
Igor Pavlov
Ilya Ryabov
Angelina Kuts
Alexander Panchenko
Andrey Kuznetsov
Denis Dimitrov
108
81
0
05 Oct 2023
NLLB-CLIP -- train performant multilingual image retrieval model on a
  budget
NLLB-CLIP -- train performant multilingual image retrieval model on a budget
Alexander Visheratin
VLM
86
19
0
04 Sep 2023
LLaVA-Med: Training a Large Language-and-Vision Assistant for
  Biomedicine in One Day
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
Chunyuan Li
Cliff Wong
Sheng Zhang
Naoto Usuyama
Haotian Liu
Jianwei Yang
Tristan Naumann
Hoifung Poon
Jianfeng Gao
LM&MAMedIm
116
792
0
01 Jun 2023
DataComp: In search of the next generation of multimodal datasets
DataComp: In search of the next generation of multimodal datasets
S. Gadre
Gabriel Ilharco
Alex Fang
J. Hayase
Georgios Smyrnis
...
A. Dimakis
J. Jitsev
Y. Carmon
Vaishaal Shankar
Ludwig Schmidt
VLM
92
447
0
27 Apr 2023
Visual Instruction Tuning
Visual Instruction Tuning
Haotian Liu
Chunyuan Li
Qingyang Wu
Yong Jae Lee
SyDaVLMMLLM
562
4,910
0
17 Apr 2023
Defense-Prefix for Preventing Typographic Attacks on CLIP
Defense-Prefix for Preventing Typographic Attacks on CLIP
Hiroki Azuma
Yusuke Matsui
VLMAAML
62
19
0
10 Apr 2023
Sigmoid Loss for Language Image Pre-Training
Sigmoid Loss for Language Image Pre-Training
Xiaohua Zhai
Basil Mustafa
Alexander Kolesnikov
Lucas Beyer
CLIPVLM
232
1,200
0
27 Mar 2023
Reproducible scaling laws for contrastive language-image learning
Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti
Romain Beaumont
Ross Wightman
Mitchell Wortsman
Gabriel Ilharco
Cade Gordon
Christoph Schuhmann
Ludwig Schmidt
J. Jitsev
VLMCLIP
118
818
0
14 Dec 2022
ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation
ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation
Ziqi Zhou
Bowen Zhang
Yinjie Lei
Lingqiao Liu
Yifan Liu
VLM
74
175
0
07 Dec 2022
CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation
CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation
Vishnu Sashank Dorbala
Gunnar Sigurdsson
Robinson Piramuthu
Jesse Thomason
Gaurav Sukhatme
LM&Ro
84
56
0
30 Nov 2022
Vision-Language Pre-training: Basics, Recent Advances, and Future Trends
Vision-Language Pre-training: Basics, Recent Advances, and Future Trends
Zhe Gan
Linjie Li
Chunyuan Li
Lijuan Wang
Zicheng Liu
Jianfeng Gao
VLM
58
165
0
17 Oct 2022
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLMMLLMCLIP
200
3,493
0
16 Oct 2022
Visual Classification via Description from Large Language Models
Visual Classification via Description from Large Language Models
Sachit Menon
Carl Vondrick
VLM
64
302
0
13 Oct 2022
Patching open-vocabulary models by interpolating weights
Patching open-vocabulary models by interpolating weights
Gabriel Ilharco
Mitchell Wortsman
S. Gadre
Shuran Song
Hannaneh Hajishirzi
Simon Kornblith
Ali Farhadi
Ludwig Schmidt
VLMKELM
104
176
0
10 Aug 2022
Disentangling visual and written concepts in CLIP
Disentangling visual and written concepts in CLIP
Joanna Materzyñska
Antonio Torralba
David Bau
CoGe
73
51
0
15 Jun 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLMDiffM
413
6,897
0
13 Apr 2022
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Oran Gafni
Adam Polyak
Oron Ashual
Shelly Sheynin
Devi Parikh
Yaniv Taigman
DiffM
79
523
0
24 Mar 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
Guosheng Lin
MLLMBDLVLMCLIP
547
4,398
0
28 Jan 2022
Cross Modal Retrieval with Querybank Normalisation
Cross Modal Retrieval with Querybank Normalisation
Simion-Vlad Bogolin
Ioana Croitoru
Hailin Jin
Yang Liu
Samuel Albanie
66
87
0
23 Dec 2021
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
474
15,734
0
20 Dec 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
967
29,810
0
26 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLMCLIP
453
3,887
0
11 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
670
41,369
0
22 Oct 2020
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
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