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Visual Adversarial Examples Jailbreak Aligned Large Language Models

Visual Adversarial Examples Jailbreak Aligned Large Language Models

22 June 2023
Xiangyu Qi
Kaixuan Huang
Ashwinee Panda
Peter Henderson
Mengdi Wang
Prateek Mittal
    AAML
ArXivPDFHTML

Papers citing "Visual Adversarial Examples Jailbreak Aligned Large Language Models"

25 / 25 papers shown
Title
REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLM
REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLM
Madhur Jindal
Saurabh Deshpande
AAML
43
0
0
07 May 2025
Transferable Adversarial Attacks on Black-Box Vision-Language Models
Transferable Adversarial Attacks on Black-Box Vision-Language Models
Kai Hu
Weichen Yu
L. Zhang
Alexander Robey
Andy Zou
Chengming Xu
Haoqi Hu
Matt Fredrikson
AAML
VLM
49
0
0
02 May 2025
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization
Yang Jiao
X. Wang
Kai Yang
AAML
SILM
31
0
0
10 Apr 2025
Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks
Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks
Jiawei Wang
Yushen Zuo
Yuanjun Chai
Z. Liu
Yichen Fu
Yichun Feng
Kin-Man Lam
AAML
VLM
40
0
0
02 Apr 2025
Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images
Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images
Yubo Wang
Jianting Tang
Chaohu Liu
Linli Xu
AAML
51
1
0
23 Feb 2025
Understanding and Rectifying Safety Perception Distortion in VLMs
Understanding and Rectifying Safety Perception Distortion in VLMs
Xiaohan Zou
Jian Kang
George Kesidis
Lu Lin
105
1
0
18 Feb 2025
Adversarial Hubness in Multi-Modal Retrieval
Adversarial Hubness in Multi-Modal Retrieval
Tingwei Zhang
Fnu Suya
Rishi Jha
Collin Zhang
Vitaly Shmatikov
AAML
81
1
0
18 Dec 2024
ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time
ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time
Yi Ding
Bolian Li
Ruqi Zhang
MLLM
67
5
0
09 Oct 2024
Securing Vision-Language Models with a Robust Encoder Against Jailbreak
  and Adversarial Attacks
Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks
Md Zarif Hossain
Ahmed Imteaj
AAML
VLM
38
3
0
11 Sep 2024
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model
Yongting Zhang
Lu Chen
Guodong Zheng
Yifeng Gao
Rui Zheng
...
Yu Qiao
Xuanjing Huang
Feng Zhao
Tao Gui
Jing Shao
VLM
75
23
0
17 Jun 2024
SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner
SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner
Xunguang Wang
Daoyuan Wu
Zhenlan Ji
Zongjie Li
Pingchuan Ma
Shuai Wang
Yingjiu Li
Yang Liu
Ning Liu
Juergen Rahmel
AAML
71
8
0
08 Jun 2024
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models
Chia-Yi Hsu
Yu-Lin Tsai
Chih-Hsun Lin
Pin-Yu Chen
Chia-Mu Yu
Chun-ying Huang
44
30
0
27 May 2024
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
117
0
09 Nov 2023
Adversarial Illusions in Multi-Modal Embeddings
Adversarial Illusions in Multi-Modal Embeddings
Tingwei Zhang
Rishi Jha
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
19
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
20
126
0
26 Jul 2023
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
218
441
0
23 Aug 2022
Pile of Law: Learning Responsible Data Filtering from the Law and a
  256GB Open-Source Legal Dataset
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
Peter Henderson
M. Krass
Lucia Zheng
Neel Guha
Christopher D. Manning
Dan Jurafsky
Daniel E. Ho
AILaw
ELM
129
94
0
01 Jul 2022
Diffusion Models for Adversarial Purification
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
195
410
0
16 May 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
303
11,730
0
04 Mar 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
315
8,261
0
28 Jan 2022
Challenges in Detoxifying Language Models
Challenges in Detoxifying Language Models
Johannes Welbl
Amelia Glaese
J. Uesato
Sumanth Dathathri
John F. J. Mellor
Lisa Anne Hendricks
Kirsty Anderson
Pushmeet Kohli
Ben Coppin
Po-Sen Huang
LM&MA
242
191
0
15 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based
  Bias in NLP
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
257
374
0
28 Feb 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
213
668
0
19 Oct 2020
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
239
909
0
21 Apr 2018
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