Cover Image

Improved Techniques for Optimization-Based Jailbreaking on Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jia, Xiaojun, Pang, Tianyu, Du, Chao, Huang, Yihao, Gu, Jindong, Liu, Yang, Cao, Xiaochun, Lin, Min
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
by: Zheng, Xiaosen, et al.
Published: (2024)

Imperceptible Jailbreaking against Large Language Models
by: Gao, Kuofeng, et al.
Published: (2025)

Denial-of-Service Poisoning Attacks against Large Language Models
by: Gao, Kuofeng, et al.
Published: (2024)

LLM Jailbreak Detection for (Almost) Free!
by: Chen, Guorui, et al.
Published: (2025)

HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models
by: Gao, Sensen, et al.
Published: (2024)

Improving Your Model Ranking on Chatbot Arena by Vote Rigging
by: Min, Rui, et al.
Published: (2025)

Test-Time Backdoor Attacks on Multimodal Large Language Models
by: Lu, Dong, et al.
Published: (2024)

Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models
by: Yang, Guangyu, et al.
Published: (2025)

Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models
by: Teng, Ma, et al.
Published: (2024)

Does Few-shot Learning Suffer from Backdoor Attacks?
by: Liu, Xinwei, et al.
Published: (2023)

StructuralSleight: Automated Jailbreak Attacks on Large Language Models Utilizing Uncommon Text-Organization Structures
by: Li, Bangxin, et al.
Published: (2024)

SRTJ: Self-Evolving Rule-Driven Training-Free LLM Jailbreaking
by: Li, Jindong, et al.
Published: (2026)

SkillJect: Effectively Automating Skill-Based Prompt Injection for Skill-Enabled Agents
by: Jia, Xiaojun, et al.
Published: (2026)

Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
by: Gu, Xiangming, et al.
Published: (2024)

PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization
by: Wang, Yidan, et al.
Published: (2025)

Lifelong Safety Alignment for Language Models
by: Wang, Haoyu, et al.
Published: (2025)

Jailbreaking Leaves a Trace: Understanding and Detecting Jailbreak Attacks from Internal Representations of Large Language Models
by: Kadali, Sri Durga Sai Sowmya, et al.
Published: (2026)

InfoFlood: Jailbreaking Large Language Models with Information Overload
by: Yadav, Advait, et al.
Published: (2025)

Overlooked Safety Vulnerability in LLMs: Malicious Intelligent Optimization Algorithm Request and its Jailbreak
by: Gu, Haoran, et al.
Published: (2026)

Harnessing Task Overload for Scalable Jailbreak Attacks on Large Language Models
by: Dong, Yiting, et al.
Published: (2024)

Distract Large Language Models for Automatic Jailbreak Attack
by: Xiao, Zeguan, et al.
Published: (2024)

Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models
by: Yu, Zhiyuan, et al.
Published: (2024)

Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
by: Zheng, Xiaosen, et al.
Published: (2024)

Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models
by: Tu, Shangqing, et al.
Published: (2024)

Benchmarking Large Multimodal Models against Common Corruptions
by: Zhang, Jiawei, et al.
Published: (2024)

PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks
by: Shen, Guobin, et al.
Published: (2025)

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models
by: Lv, Huijie, et al.
Published: (2024)

Defending against Jailbreak through Early Exit Generation of Large Language Models
by: Zhao, Chongwen, et al.
Published: (2024)

JailbreakEval: An Integrated Toolkit for Evaluating Jailbreak Attempts Against Large Language Models
by: Ran, Delong, et al.
Published: (2024)

Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models
by: Bai, Yang, et al.
Published: (2024)

Knowledge-Driven Multi-Turn Jailbreaking on Large Language Models
by: Li, Songze, et al.
Published: (2026)

Towards Safe AI Clinicians: A Comprehensive Study on Large Language Model Jailbreaking in Healthcare
by: Zhang, Hang, et al.
Published: (2025)

BitBypass: A New Direction in Jailbreaking Aligned Large Language Models with Bitstream Camouflage
by: Nakka, Kalyan, et al.
Published: (2025)

Subtoxic Questions: Dive Into Attitude Change of LLM's Response in Jailbreak Attempts
by: Zhang, Tianyu, et al.
Published: (2024)

Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
by: Chen, Shuo, et al.
Published: (2024)

Jailbreaking Large Language Models Through Content Concretization
by: Wahréus, Johan, et al.
Published: (2025)

Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models
by: Shen, Guobin, et al.
Published: (2024)

JailbreakLens: Visual Analysis of Jailbreak Attacks Against Large Language Models
by: Feng, Yingchaojie, et al.
Published: (2024)

PrisonBreak: Jailbreaking Large Language Models with at Most Twenty-Five Targeted Bit-flips
by: Coalson, Zachary, et al.
Published: (2024)

Boosting Jailbreak Attack with Momentum
by: Zhang, Yihao, et al.
Published: (2024)