Excessive Reasoning Attack on Reasoning LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Si, Wai Man, Li, Mingjie, Backes, Michael, Zhang, Yang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Instruction Backdoor Attacks Against Customized LLMs
by: Zhang, Rui, et al.
Published: (2024)
by: Zhang, Rui, et al.
Published: (2024)
Vera Verto: Multimodal Hijacking Attack
by: Zhang, Minxing, et al.
Published: (2024)
by: Zhang, Minxing, et al.
Published: (2024)
Sparse Models, Sparse Safety: Unsafe Routes in Mixture-of-Experts LLMs
by: Jiang, Yukun, et al.
Published: (2026)
by: Jiang, Yukun, et al.
Published: (2026)
Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm?
by: Wen, Rui, et al.
Published: (2024)
by: Wen, Rui, et al.
Published: (2024)
Transferable Availability Poisoning Attacks
by: Liu, Yiyong, et al.
Published: (2023)
by: Liu, Yiyong, et al.
Published: (2023)
OverThink: Slowdown Attacks on Reasoning LLMs
by: Kumar, Abhinav, et al.
Published: (2025)
by: Kumar, Abhinav, et al.
Published: (2025)
Voice Jailbreak Attacks Against GPT-4o
by: Shen, Xinyue, et al.
Published: (2024)
by: Shen, Xinyue, et al.
Published: (2024)
Prompt Stealing Attacks Against Text-to-Image Generation Models
by: Shen, Xinyue, et al.
Published: (2023)
by: Shen, Xinyue, et al.
Published: (2023)
SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark
by: Wen, Rui, et al.
Published: (2025)
by: Wen, Rui, et al.
Published: (2025)
Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data
by: Akkus, Atilla, et al.
Published: (2024)
by: Akkus, Atilla, et al.
Published: (2024)
ICLGuard: Controlling In-Context Learning Behavior for Applicability Authorization
by: Si, Wai Man, et al.
Published: (2024)
by: Si, Wai Man, et al.
Published: (2024)
Guided Reasoning in LLM-Driven Penetration Testing Using Structured Attack Trees
by: Nakano, Katsuaki, et al.
Published: (2025)
by: Nakano, Katsuaki, et al.
Published: (2025)
SOS! Soft Prompt Attack Against Open-Source Large Language Models
by: Yang, Ziqing, et al.
Published: (2024)
by: Yang, Ziqing, et al.
Published: (2024)
JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs
by: Chu, Junjie, et al.
Published: (2024)
by: Chu, Junjie, et al.
Published: (2024)
Link Stealing Attacks Against Inductive Graph Neural Networks
by: Wu, Yixin, et al.
Published: (2024)
by: Wu, Yixin, et al.
Published: (2024)
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
by: Dong, Xuewen, et al.
Published: (2025)
by: Dong, Xuewen, et al.
Published: (2025)
Composite Backdoor Attacks Against Large Language Models
by: Huang, Hai, et al.
Published: (2023)
by: Huang, Hai, et al.
Published: (2023)
When GPT Spills the Tea: Comprehensive Assessment of Knowledge File Leakage in GPTs
by: Shen, Xinyue, et al.
Published: (2025)
by: Shen, Xinyue, et al.
Published: (2025)
Image-Perfect Imperfections: Safety, Bias, and Authenticity in the Shadow of Text-To-Image Model Evolution
by: Wu, Yixin, et al.
Published: (2024)
by: Wu, Yixin, et al.
Published: (2024)
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives
by: Hanke, Vincent, et al.
Published: (2024)
by: Hanke, Vincent, et al.
Published: (2024)
Thought-Transfer: Indirect Targeted Poisoning Attacks on Chain-of-Thought Reasoning Models
by: Chaudhari, Harsh, et al.
Published: (2026)
by: Chaudhari, Harsh, et al.
Published: (2026)
MGTBench: Benchmarking Machine-Generated Text Detection
by: He, Xinlei, et al.
Published: (2023)
by: He, Xinlei, et al.
Published: (2023)
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
by: Shen, Xinyue, et al.
Published: (2023)
by: Shen, Xinyue, et al.
Published: (2023)
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)
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
by: Xin, Yuan, et al.
Published: (2023)
by: Xin, Yuan, et al.
Published: (2023)
The Challenge of Identifying the Origin of Black-Box Large Language Models
by: Yang, Ziqing, et al.
Published: (2025)
by: Yang, Ziqing, et al.
Published: (2025)
HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns
by: Shen, Xinyue, et al.
Published: (2025)
by: Shen, Xinyue, et al.
Published: (2025)
Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification
by: Zhang, Boyang, et al.
Published: (2024)
by: Zhang, Boyang, et al.
Published: (2024)
AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models
by: Liang, Jiacheng, et al.
Published: (2025)
by: Liang, Jiacheng, et al.
Published: (2025)
Efficient Adversarial Training in LLMs with Continuous Attacks
by: Xhonneux, Sophie, et al.
Published: (2024)
by: Xhonneux, Sophie, et al.
Published: (2024)
Agentic Vulnerability Reasoning on Windows COM Binaries
by: Lee, Hwiwon, et al.
Published: (2026)
by: Lee, Hwiwon, et al.
Published: (2026)
Trusted Weights, Treacherous Optimizations? Optimization-Triggered Backdoor Attacks on LLMs
by: Wang, Yifei, et al.
Published: (2026)
by: Wang, Yifei, et al.
Published: (2026)
GuardReasoner: Towards Reasoning-based LLM Safeguards
by: Liu, Yue, et al.
Published: (2025)
by: Liu, Yue, et al.
Published: (2025)
DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy
by: Wang, Erchi, et al.
Published: (2026)
by: Wang, Erchi, et al.
Published: (2026)
Echoes within the Reasoning: Stealthy and Effective Watermarking via Chain of Thought
by: Lu, Jiacheng, et al.
Published: (2026)
by: Lu, Jiacheng, et al.
Published: (2026)
Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency
by: Jiang, Yukun, et al.
Published: (2025)
by: Jiang, Yukun, et al.
Published: (2025)
Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense
by: Zhang, Shuhao, et al.
Published: (2026)
by: Zhang, Shuhao, et al.
Published: (2026)
Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications
by: Wu, Yixin, et al.
Published: (2025)
by: Wu, Yixin, et al.
Published: (2025)
Model Hijacking Attack in Federated Learning
by: Li, Zheng, et al.
Published: (2024)
by: Li, Zheng, et al.
Published: (2024)
BadMerging: Backdoor Attacks Against Model Merging
by: Zhang, Jinghuai, et al.
Published: (2024)
by: Zhang, Jinghuai, et al.
Published: (2024)
Similar Items
-
Instruction Backdoor Attacks Against Customized LLMs
by: Zhang, Rui, et al.
Published: (2024) -
Vera Verto: Multimodal Hijacking Attack
by: Zhang, Minxing, et al.
Published: (2024) -
Sparse Models, Sparse Safety: Unsafe Routes in Mixture-of-Experts LLMs
by: Jiang, Yukun, et al.
Published: (2026) -
Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm?
by: Wen, Rui, et al.
Published: (2024) -
Transferable Availability Poisoning Attacks
by: Liu, Yiyong, et al.
Published: (2023)