Cover Image

Can Reinforcement Learning Unlock the Hidden Dangers in Aligned Large Language Models?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Karkevandi, Mohammad Bahrami, Vishwamitra, Nishant, Najafirad, Peyman
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lateral Phishing With Large Language Models: A Large Organization Comparative Study
by: Bethany, Mazal, et al.
Published: (2024)

Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
by: Islam, Nafis Tanveer, et al.
Published: (2024)

Jailbreaking Large Language Models with Symbolic Mathematics
by: Bethany, Emet, et al.
Published: (2024)

Imposter.AI: Adversarial Attacks with Hidden Intentions towards Aligned Large Language Models
by: Liu, Xiao, et al.
Published: (2024)

ForgeDAN: An Evolutionary Framework for Jailbreaking Aligned Large Language Models
by: Cheng, Siyang, et al.
Published: (2025)

CCJA: Context-Coherent Jailbreak Attack for Aligned Large Language Models
by: Zhou, Guanghao, et al.
Published: (2025)

LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models
by: Lin, Shi, et al.
Published: (2024)

QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language
by: Zou, Qingsong, et al.
Published: (2025)

AgentAlign: Navigating Safety Alignment in the Shift from Informative to Agentic Large Language Models
by: Zhang, Jinchuan, et al.
Published: (2025)

Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries
by: Manuel, Dylan, et al.
Published: (2024)

Token Inflation: How Dishonest Providers Can Overcharge for Large Language Model Usage
by: Hoque, Shahinul, et al.
Published: (2026)

Why Safeguarded Ships Run Aground? Aligned Large Language Models' Safety Mechanisms Tend to Be Anchored in The Template Region
by: Leong, Chak Tou, et al.
Published: (2025)

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

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
by: Wang, Zhepeng, et al.
Published: (2024)

Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
by: Mohseni, Seyedreza, et al.
Published: (2024)

Personal Information Parroting in Language Models
by: Subramani, Nishant, et al.
Published: (2026)

SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From
by: Tong, Yao, et al.
Published: (2025)

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
by: Zhao, Shuai, et al.
Published: (2024)

The Hidden Dangers of Browsing AI Agents
by: Mudryi, Mykyta, et al.
Published: (2025)

Resource Consumption Threats in Large Language Models
by: Zhang, Yuanhe, et al.
Published: (2026)

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

Faster-GCG: Efficient Discrete Optimization Jailbreak Attacks against Aligned Large Language Models
by: Li, Xiao, et al.
Published: (2024)

RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models
by: Wang, Jiongxiao, et al.
Published: (2023)

REEF: Representation Encoding Fingerprints for Large Language Models
by: Zhang, Jie, et al.
Published: (2024)

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

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

PRISON: Unmasking the Criminal Potential of Large Language Models
by: Wu, Xinyi, et al.
Published: (2025)

FNF: Functional Network Fingerprint for Large Language Models
by: Liu, Yiheng, et al.
Published: (2026)

Internal Safety Collapse in Frontier Large Language Models
by: Wu, Yutao, et al.
Published: (2026)

MEUV: Achieving Fine-Grained Capability Activation in Large Language Models via Mutually Exclusive Unlock Vectors
by: Tong, Xin, et al.
Published: (2025)

Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
by: Mireshghallah, Niloofar, et al.
Published: (2023)

Learnable Linguistic Watermarks for Tracing Model Extraction Attacks on Large Language Models
by: Bai, Minhao, et al.
Published: (2024)

Large Language Model Sentinel: LLM Agent for Adversarial Purification
by: Lin, Guang, et al.
Published: (2024)

Security and Privacy Challenges of Large Language Models: A Survey
by: Das, Badhan Chandra, et al.
Published: (2024)

Is the System Message Really Important to Jailbreaks in Large Language Models?
by: Zou, Xiaotian, et al.
Published: (2024)

LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models
by: Yu, Miao, et al.
Published: (2024)

Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency
by: Zhao, Shiji, et al.
Published: (2025)

SGuard-v1: Safety Guardrail for Large Language Models
by: Lee, JoonHo, et al.
Published: (2025)

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models
by: Wang, Yanbo, et al.
Published: (2025)

Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model
by: Wu, Tianyi, et al.
Published: (2026)