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On Evaluating Adversarial Robustness of Large Vision-Language Models

On Evaluating Adversarial Robustness of Large Vision-Language Models

26 May 2023
Yunqing Zhao
Tianyu Pang
Chao Du
Xiao Yang
Chongxuan Li
Ngai-man Cheung
Min-Bin Lin
    VLM
    AAML
    MLLM
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Papers citing "On Evaluating Adversarial Robustness of Large Vision-Language Models"

36 / 136 papers shown
Title
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language
  Models
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
Yuancheng Xu
Jiarui Yao
Manli Shu
Yanchao Sun
Zichu Wu
Ning Yu
Tom Goldstein
Furong Huang
AAML
38
16
0
05 Feb 2024
GUARD: Role-playing to Generate Natural-language Jailbreakings to Test
  Guideline Adherence of Large Language Models
GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models
Haibo Jin
Ruoxi Chen
Andy Zhou
Yang Zhang
Haohan Wang
LLMAG
24
21
0
05 Feb 2024
Your Diffusion Model is Secretly a Certifiably Robust Classifier
Your Diffusion Model is Secretly a Certifiably Robust Classifier
Huanran Chen
Yinpeng Dong
Shitong Shao
Zhongkai Hao
Xiao Yang
Hang Su
Jun Zhu
DiffM
34
13
0
04 Feb 2024
Benchmarking Large Multimodal Models against Common Corruptions
Benchmarking Large Multimodal Models against Common Corruptions
Jiawei Zhang
Tianyu Pang
Chao Du
Yi Ren
Bo-wen Li
Min-Bin Lin
MLLM
32
14
0
22 Jan 2024
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial
  Robustness
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness
Sibo Wang
Jie Zhang
Zheng Yuan
Shiguang Shan
VLM
36
18
0
09 Jan 2024
MetaAID 2.5: A Secure Framework for Developing Metaverse Applications
  via Large Language Models
MetaAID 2.5: A Secure Framework for Developing Metaverse Applications via Large Language Models
Hongyin Zhu
36
6
0
22 Dec 2023
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language
  Models
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models
Xunguang Wang
Zhenlan Ji
Pingchuan Ma
Zongjie Li
Shuai Wang
MLLM
43
11
0
04 Dec 2023
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for
  Vision LLMs
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs
Haoqin Tu
Chenhang Cui
Zijun Wang
Yiyang Zhou
Bingchen Zhao
Junlin Han
Wangchunshu Zhou
Huaxiu Yao
Cihang Xie
MLLM
60
71
0
27 Nov 2023
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning
  Benchmark for Expert AGI
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Xiang Yue
Yuansheng Ni
Kai Zhang
Tianyu Zheng
Ruoqi Liu
...
Yibo Liu
Wenhao Huang
Huan Sun
Yu-Chuan Su
Wenhu Chen
OSLM
ELM
VLM
73
748
0
27 Nov 2023
Adversarial Prompt Tuning for Vision-Language Models
Adversarial Prompt Tuning for Vision-Language Models
Jiaming Zhang
Xingjun Ma
Xin Wang
Lingyu Qiu
Jiaqi Wang
Yu-Gang Jiang
Jitao Sang
AAML
VPVLM
VLM
30
18
0
19 Nov 2023
Trustworthy Large Models in Vision: A Survey
Trustworthy Large Models in Vision: A Survey
Ziyan Guo
Li Xu
Jun Liu
MU
64
0
0
16 Nov 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
129
118
0
09 Nov 2023
From Image to Language: A Critical Analysis of Visual Question Answering
  (VQA) Approaches, Challenges, and Opportunities
From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities
Md Farhan Ishmam
Md Sakib Hossain Shovon
M. F. Mridha
Nilanjan Dey
40
36
0
01 Nov 2023
A Survey on Transferability of Adversarial Examples across Deep Neural
  Networks
A Survey on Transferability of Adversarial Examples across Deep Neural Networks
Jindong Gu
Xiaojun Jia
Pau de Jorge
Wenqain Yu
Xinwei Liu
...
Anjun Hu
Ashkan Khakzar
Zhijiang Li
Xiaochun Cao
Philip H. S. Torr
AAML
29
26
0
26 Oct 2023
Improved Baselines with Visual Instruction Tuning
Improved Baselines with Visual Instruction Tuning
Haotian Liu
Chunyuan Li
Yuheng Li
Yong Jae Lee
VLM
MLLM
61
2,429
0
05 Oct 2023
ReForm-Eval: Evaluating Large Vision Language Models via Unified
  Re-Formulation of Task-Oriented Benchmarks
ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks
Zejun Li
Ye Wang
Mengfei Du
Qingwen Liu
Binhao Wu
...
Zhihao Fan
Jie Fu
Jingjing Chen
Xuanjing Huang
Zhongyu Wei
27
13
0
04 Oct 2023
Black-box Attacks on Image Activity Prediction and its Natural Language
  Explanations
Black-box Attacks on Image Activity Prediction and its Natural Language Explanations
Alina Elena Baia
Valentina Poggioni
Andrea Cavallaro
AAML
18
1
0
30 Sep 2023
How Robust is Google's Bard to Adversarial Image Attacks?
How Robust is Google's Bard to Adversarial Image Attacks?
Yinpeng Dong
Huanran Chen
Jiawei Chen
Zhengwei Fang
X. Yang
Yichi Zhang
Yu Tian
Hang Su
Jun Zhu
AAML
33
102
0
21 Sep 2023
A Fast Optimization View: Reformulating Single Layer Attention in LLM
  Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time
A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time
Yeqi Gao
Zhao-quan Song
Weixin Wang
Junze Yin
20
25
0
14 Sep 2023
Image Hijacks: Adversarial Images can Control Generative Models at
  Runtime
Image Hijacks: Adversarial Images can Control Generative Models at Runtime
Luke Bailey
Euan Ong
Stuart J. Russell
Scott Emmons
VLM
MLLM
30
79
0
01 Sep 2023
Adversarial Illusions in Multi-Modal Embeddings
Adversarial Illusions in Multi-Modal Embeddings
Tingwei Zhang
Rishi Jha
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
34
8
0
22 Aug 2023
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal
  Language Models
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
Erfan Shayegani
Yue Dong
Nael B. Abu-Ghazaleh
47
127
0
26 Jul 2023
A Survey on Evaluation of Large Language Models
A Survey on Evaluation of Large Language Models
Yu-Chu Chang
Xu Wang
Jindong Wang
Yuanyi Wu
Linyi Yang
...
Yue Zhang
Yi-Ju Chang
Philip S. Yu
Qian Yang
Xingxu Xie
ELM
LM&MA
ALM
69
1,513
0
06 Jul 2023
Large Multimodal Models: Notes on CVPR 2023 Tutorial
Large Multimodal Models: Notes on CVPR 2023 Tutorial
Chunyuan Li
MLLM
VLM
19
20
0
26 Jun 2023
A Survey on Multimodal Large Language Models
A Survey on Multimodal Large Language Models
Shukang Yin
Chaoyou Fu
Sirui Zhao
Ke Li
Xing Sun
Tong Xu
Enhong Chen
MLLM
LRM
54
556
0
23 Jun 2023
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language
  Models
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Chaoyou Fu
Peixian Chen
Yunhang Shen
Yulei Qin
Mengdan Zhang
...
Xiawu Zheng
Ke Li
Xing Sun
Zhenyu Qiu
Rongrong Ji
ELM
MLLM
42
766
0
23 Jun 2023
AutoML in the Age of Large Language Models: Current Challenges, Future
  Opportunities and Risks
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
Alexander Tornede
Difan Deng
Theresa Eimer
Joseph Giovanelli
Aditya Mohan
...
Sarah Segel
Daphne Theodorakopoulos
Tanja Tornede
Henning Wachsmuth
Marius Lindauer
28
23
0
13 Jun 2023
Generative Agents: Interactive Simulacra of Human Behavior
Generative Agents: Interactive Simulacra of Human Behavior
J. Park
Joseph C. O'Brien
Carrie J. Cai
Meredith Ringel Morris
Percy Liang
Michael S. Bernstein
LM&Ro
AI4CE
232
1,742
0
07 Apr 2023
A Recipe for Watermarking Diffusion Models
A Recipe for Watermarking Diffusion Models
Yunqing Zhao
Tianyu Pang
Chao Du
Xiao Yang
Ngai-man Cheung
Min-Bin Lin
WIGM
30
115
0
17 Mar 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
Fan Bao
Shen Nie
Kaiwen Xue
Chongxuan Li
Shiliang Pu
Yaole Wang
Gang Yue
Yue Cao
Hang Su
Jun Zhu
DiffM
207
149
0
12 Mar 2023
Red-Teaming the Stable Diffusion Safety Filter
Red-Teaming the Stable Diffusion Safety Filter
Javier Rando
Daniel Paleka
David Lindner
Lennard Heim
Florian Tramèr
DiffM
126
183
0
03 Oct 2022
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
225
446
0
23 Aug 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
319
11,953
0
04 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
S. Hoi
MLLM
BDL
VLM
CLIP
392
4,137
0
28 Jan 2022
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,781
0
24 Feb 2021
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
245
914
0
21 Apr 2018
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