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Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving
  with Typography

Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography

23 May 2024
N. Chung
Sensen Gao
Tuan-Anh Vu
Jie M. Zhang
Aishan Liu
Yun Lin
Jin Song Dong
Qi Guo
    AAML
ArXivPDFHTML

Papers citing "Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography"

13 / 13 papers shown
Title
FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition
FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition
Shuai Yuan
Guowen Xu
Hongwei Li
Rui Zhang
Xinyuan Qian
Wenbo Jiang
Hangcheng Cao
Qingchuan Zhao
AAML
68
0
0
17 May 2025
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
61
0
0
07 Apr 2025
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
AAML
VLM
53
12
0
01 Feb 2024
LMDrive: Closed-Loop End-to-End Driving with Large Language Models
LMDrive: Closed-Loop End-to-End Driving with Large Language Models
Hao Shao
Yuxuan Hu
Letian Wang
Steven L. Waslander
Yu Liu
Hongsheng Li
ELM
62
131
0
12 Dec 2023
LLM4Drive: A Survey of Large Language Models for Autonomous Driving
LLM4Drive: A Survey of Large Language Models for Autonomous Driving
Zhenjie Yang
Xiaosong Jia
Hongyang Li
Junchi Yan
ELM
79
113
0
02 Nov 2023
Defense-Prefix for Preventing Typographic Attacks on CLIP
Defense-Prefix for Preventing Typographic Attacks on CLIP
Hiroki Azuma
Yusuke Matsui
VLM
AAML
45
19
0
10 Apr 2023
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLM
VLM
311
3,507
0
29 Apr 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
624
9,267
0
28 Jan 2022
Align before Fuse: Vision and Language Representation Learning with
  Momentum Distillation
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Junnan Li
Ramprasaath R. Selvaraju
Akhilesh Deepak Gotmare
Shafiq Joty
Caiming Xiong
Guosheng Lin
FaML
163
1,941
0
16 Jul 2021
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
103
200
0
31 Jan 2021
Improving Transferability of Adversarial Examples with Input Diversity
Improving Transferability of Adversarial Examples with Input Diversity
Cihang Xie
Zhishuai Zhang
Yuyin Zhou
Song Bai
Jianyu Wang
Zhou Ren
Alan Yuille
AAML
91
1,116
0
19 Mar 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
517
5,885
0
08 Jul 2016
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
222
14,893
1
21 Dec 2013
1