Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities
Fuente:
arXiv
Saved in:
| Main Authors: | Geng, Jiahui, Tran, Thy Thy, Nakov, Preslav, Gurevych, Iryna |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Automated Error Discovery: A Study in Conversational AI
by: Petrak, Dominic, et al.
Published: (2025)
by: Petrak, Dominic, et al.
Published: (2025)
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
by: Jia, Xiaojun, et al.
Published: (2024)
by: Jia, Xiaojun, et al.
Published: (2024)
VERA: Variational Inference Framework for Jailbreaking Large Language Models
by: Lochab, Anamika, et al.
Published: (2025)
by: Lochab, Anamika, et al.
Published: (2025)
Multimodal Large Language Models to Support Real-World Fact-Checking
by: Geng, Jiahui, et al.
Published: (2024)
by: Geng, Jiahui, et al.
Published: (2024)
Jailbreaking Attack against Multimodal Large Language Model
by: Niu, Zhenxing, et al.
Published: (2024)
by: Niu, Zhenxing, et al.
Published: (2024)
RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking
by: Jiang, Yifan, et al.
Published: (2024)
by: Jiang, Yifan, et al.
Published: (2024)
Jailbreak-Zero: A Path to Pareto Optimal Red Teaming for Large Language Models
by: Hu, Kai, et al.
Published: (2025)
by: Hu, Kai, et al.
Published: (2025)
Jailbreaking Large Language Models with Symbolic Mathematics
by: Bethany, Emet, et al.
Published: (2024)
by: Bethany, Emet, et al.
Published: (2024)
PrisonBreak: Jailbreaking Large Language Models with at Most Twenty-Five Targeted Bit-flips
by: Coalson, Zachary, et al.
Published: (2024)
by: Coalson, Zachary, et al.
Published: (2024)
EnJa: Ensemble Jailbreak on Large Language Models
by: Zhang, Jiahao, et al.
Published: (2024)
by: Zhang, Jiahao, et al.
Published: (2024)
Differentially Private Tabular Data Synthesis using Large Language Models
by: Tran, Toan V., et al.
Published: (2024)
by: Tran, Toan V., et al.
Published: (2024)
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
by: Yan, Jun, et al.
Published: (2023)
by: Yan, Jun, et al.
Published: (2023)
An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks
by: Boreiko, Valentyn, et al.
Published: (2024)
by: Boreiko, Valentyn, et al.
Published: (2024)
Jailbreak Attacks and Defenses Against Large Language Models: A Survey
by: Yi, Sibo, et al.
Published: (2024)
by: Yi, Sibo, et al.
Published: (2024)
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
by: Chao, Patrick, et al.
Published: (2024)
by: Chao, Patrick, et al.
Published: (2024)
Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues
by: Petrak, Dominic, et al.
Published: (2024)
by: Petrak, Dominic, et al.
Published: (2024)
Instructional Fingerprinting of Large Language Models
by: Xu, Jiashu, et al.
Published: (2024)
by: Xu, Jiashu, et al.
Published: (2024)
JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models
by: Jin, Haibo, et al.
Published: (2024)
by: Jin, Haibo, et al.
Published: (2024)
Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring
by: Hua, Peichun, et al.
Published: (2025)
by: Hua, Peichun, et al.
Published: (2025)
Jailbreaking with Universal Multi-Prompts
by: Hsu, Yu-Ling, et al.
Published: (2025)
by: Hsu, Yu-Ling, et al.
Published: (2025)
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
by: Xu, Jiashu, et al.
Published: (2023)
by: Xu, Jiashu, et al.
Published: (2023)
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
by: Chen, Shuo, et al.
Published: (2024)
by: Chen, Shuo, et al.
Published: (2024)
LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models
by: Lin, Shi, et al.
Published: (2024)
by: Lin, Shi, et al.
Published: (2024)
AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language Models
by: Reddy, Aashray, et al.
Published: (2025)
by: Reddy, Aashray, et al.
Published: (2025)
Rethinking How to Evaluate Language Model Jailbreak
by: Cai, Hongyu, et al.
Published: (2024)
by: Cai, Hongyu, et al.
Published: (2024)
Jailbreaking Large Language Models in Infinitely Many Ways
by: Goldstein, Oliver, et al.
Published: (2025)
by: Goldstein, Oliver, et al.
Published: (2025)
DeepInception: Hypnotize Large Language Model to Be Jailbreaker
by: Li, Xuan, et al.
Published: (2023)
by: Li, Xuan, et al.
Published: (2023)
JULI: Jailbreak Large Language Models by Self-Introspection
by: Wang, Jesson, et al.
Published: (2025)
by: Wang, Jesson, et al.
Published: (2025)
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters
by: Jin, Haibo, et al.
Published: (2024)
by: Jin, Haibo, et al.
Published: (2024)
Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translation
by: Li, Qizhang, et al.
Published: (2024)
by: Li, Qizhang, et al.
Published: (2024)
Textual Unlearning Gives a False Sense of Unlearning
by: Du, Jiacheng, et al.
Published: (2024)
by: Du, Jiacheng, et al.
Published: (2024)
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes
by: Hu, Xiaomeng, et al.
Published: (2024)
by: Hu, Xiaomeng, et al.
Published: (2024)
Faster-GCG: Efficient Discrete Optimization Jailbreak Attacks against Aligned Large Language Models
by: Li, Xiao, et al.
Published: (2024)
by: Li, Xiao, et al.
Published: (2024)
CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models
by: Lou, Qian, et al.
Published: (2024)
by: Lou, Qian, et al.
Published: (2024)
Hijacking Large Language Models via Adversarial In-Context Learning
by: Zhou, Xiangyu, et al.
Published: (2023)
by: Zhou, Xiangyu, et al.
Published: (2023)
SequentialBreak: Large Language Models Can be Fooled by Embedding Jailbreak Prompts into Sequential Prompt Chains
by: Saiem, Bijoy Ahmed, et al.
Published: (2024)
by: Saiem, Bijoy Ahmed, et al.
Published: (2024)
TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice
by: Goel, Aman, et al.
Published: (2025)
by: Goel, Aman, et al.
Published: (2025)
Systematic Scaling Analysis of Jailbreak Attacks in Large Language Models
by: Wang, Xiangwen, et al.
Published: (2026)
by: Wang, Xiangwen, et al.
Published: (2026)
Knowledge-Driven Multi-Turn Jailbreaking on Large Language Models
by: Li, Songze, et al.
Published: (2026)
by: Li, Songze, et al.
Published: (2026)
A StrongREJECT for Empty Jailbreaks
by: Souly, Alexandra, et al.
Published: (2024)
by: Souly, Alexandra, et al.
Published: (2024)
Similar Items
-
Towards Automated Error Discovery: A Study in Conversational AI
by: Petrak, Dominic, et al.
Published: (2025) -
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
by: Jia, Xiaojun, et al.
Published: (2024) -
VERA: Variational Inference Framework for Jailbreaking Large Language Models
by: Lochab, Anamika, et al.
Published: (2025) -
Multimodal Large Language Models to Support Real-World Fact-Checking
by: Geng, Jiahui, et al.
Published: (2024) -
Jailbreaking Attack against Multimodal Large Language Model
by: Niu, Zhenxing, et al.
Published: (2024)