Cover Image

Automating Deception: Scalable Multi-Turn LLM Jailbreaks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kumarappan, Adarsh, Mujoo, Ananya
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy
by: Kumarappan, Adarsh, et al.
Published: (2026)

Towards Realistic Guarantees: A Probabilistic Certificate for SmoothLLM
by: Kumarappan, Adarsh, et al.
Published: (2025)

Not All Turns Matter: Credit Assignment for Multi-Turn Jailbreaking
by: He, Zhida, et al.
Published: (2026)

AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language Models
by: Reddy, Aashray, et al.
Published: (2025)

Reliable Self-Harm Risk Screening via Adaptive Multi-Agent LLM Systems
by: Karnam, Meghana, et al.
Published: (2026)

TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards
by: Xiong, Xiqiao, et al.
Published: (2025)

LeanAgent: Lifelong Learning for Formal Theorem Proving
by: Kumarappan, Adarsh, et al.
Published: (2024)

Deceptive Exploration in Multi-armed Bandits
by: Vurankaya, I. Arda, et al.
Published: (2025)

DevBench: A Realistic, Developer-Informed Benchmark for Code Generation Models
by: Kumarappan, Adarsh, et al.
Published: (2026)

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance
by: Agnihotri, Rudransh, et al.
Published: (2025)

Reliability Auditing for Downstream LLM tasks in Psychiatry: LLM-Generated Hospitalization Risk Scores
by: Panda, Shevya, et al.
Published: (2026)

X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents
by: Rahman, Salman, et al.
Published: (2025)

A Simple "Try Again" Can Elicit Multi-Turn LLM Reasoning
by: Liu, Licheng, et al.
Published: (2025)

Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts
by: Wu, Zhaomin, et al.
Published: (2025)

Gradient Multi-Normalization for Stateless and Scalable LLM Training
by: Scetbon, Meyer, et al.
Published: (2025)

Deception at Scale: Deceptive Designs in 1K LLM-Generated Ecommerce Components
by: Chen, Ziwei, et al.
Published: (2025)

Stable Reasoning, Unstable Responses: Mitigating LLM Deception via Stability Asymmetry
by: Zhang, Guoxi, et al.
Published: (2026)

The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring
by: Hossain, Ismail, et al.
Published: (2026)

Detecting Jailbreak Attempts in Clinical Training LLMs Through Automated Linguistic Feature Extraction
by: Nguyen, Tri, et al.
Published: (2026)

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
by: Robey, Alexander, et al.
Published: (2023)

Not All Turns Are Equally Hard: Adaptive Thinking Budgets For Efficient Multi-Turn Reasoning
by: Jali, Neharika, et al.
Published: (2026)

Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models
by: Dong, Yingkai, et al.
Published: (2024)

TSR: Trajectory-Search Rollouts for Multi-Turn RL of LLM Agents
by: Djuhera, Aladin, et al.
Published: (2026)

RLFactory: A Plug-and-Play Reinforcement Learning Post-Training Framework for LLM Multi-Turn Tool-Use
by: Chai, Jiajun, et al.
Published: (2025)

LLM-VA: Resolving the Jailbreak-Overrefusal Trade-off via Vector Alignment
by: Zhang, Haonan, et al.
Published: (2026)

Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors
by: Didolkar, Aniket, et al.
Published: (2025)

Mitigating Conversational Inertia in Multi-Turn Agents
by: Wan, Yang, et al.
Published: (2026)

PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier
by: Jiang, Yuhua, et al.
Published: (2025)

Turning LLM Activations Quantization-Friendly
by: Czakó, Patrik, et al.
Published: (2025)

Information-theoretic Distinctions Between Deception and Confusion
by: Young, Robin
Published: (2025)

RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
by: Wang, Zihan, et al.
Published: (2025)

When LLMs Learn to Be Consistently Wrong: A Multi-Model Study of Linear Representations of Synthetic Deception
by: Zolfaghari, Vahideh
Published: (2026)

LLM-AR: LLM-powered Automated Reasoning Framework
by: Chen, Rick, et al.
Published: (2025)

Adversarial Reasoning at Jailbreaking Time
by: Sabbaghi, Mahdi, et al.
Published: (2025)

When Truthful Representations Flip Under Deceptive Instructions?
by: Long, Xianxuan, et al.
Published: (2025)

POLO: Preference-Guided Multi-Turn Reinforcement Learning for Lead Optimization
by: Wang, Ziqing, et al.
Published: (2025)

ATPO: Adaptive Tree Policy Optimization for Multi-Turn Medical Dialogue
by: Cao, Ruike, et al.
Published: (2026)

Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation
by: Wei, Chenxing, et al.
Published: (2026)

Ethical and Scalable Automation: A Governance and Compliance Framework for Business Applications
by: Lin, Haocheng
Published: (2024)

Among Us: A Sandbox for Measuring and Detecting Agentic Deception
by: Golechha, Satvik, et al.
Published: (2025)