Saved in:
| Main Authors: | Dai, Fangqi, Jiang, Xingjian, Deng, Zizhuang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.06942 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection
by: Chen, Jiaqi, et al.
Published: (2024)
by: Chen, Jiaqi, et al.
Published: (2024)
Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack
by: Zhou, Ying, et al.
Published: (2024)
by: Zhou, Ying, et al.
Published: (2024)
PlanGuard: Defending Agents against Indirect Prompt Injection via Planning-based Consistency Verification
by: Gong, Guangyu, et al.
Published: (2026)
by: Gong, Guangyu, et al.
Published: (2026)
Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training
by: Li, Yuanfan, et al.
Published: (2025)
by: Li, Yuanfan, et al.
Published: (2025)
Privacy-Preserving Instructions for Aligning Large Language Models
by: Yu, Da, et al.
Published: (2024)
by: Yu, Da, et al.
Published: (2024)
Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training
by: Duan, Wenjing, et al.
Published: (2026)
by: Duan, Wenjing, et al.
Published: (2026)
LLMs for Domain Generation Algorithm Detection
by: La O, Reynier Leyva, et al.
Published: (2024)
by: La O, Reynier Leyva, et al.
Published: (2024)
GenBreak: Red Teaming Text-to-Image Generators Using Large Language Models
by: Wang, Zilong, et al.
Published: (2025)
by: Wang, Zilong, et al.
Published: (2025)
AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender
by: Zhao, Weixiang, et al.
Published: (2025)
by: Zhao, Weixiang, et al.
Published: (2025)
Understanding and Mitigating Over-refusal for Large Language Models via Safety Representation
by: Zhang, Junbo, et al.
Published: (2025)
by: Zhang, Junbo, et al.
Published: (2025)
MGTEVAL: An Interactive Platform for Systemtic Evaluation of Machine-Generated Text Detectors
by: Li, Yuanfan, et al.
Published: (2026)
by: Li, Yuanfan, et al.
Published: (2026)
NSmark: Null Space Based Black-box Watermarking Defense Framework for Language Models
by: Zhao, Haodong, et al.
Published: (2024)
by: Zhao, Haodong, et al.
Published: (2024)
MPMA: Preference Manipulation Attack Against Model Context Protocol
by: Wang, Zihan, et al.
Published: (2025)
by: Wang, Zihan, et al.
Published: (2025)
Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection
by: Naseh, Ali, et al.
Published: (2025)
by: Naseh, Ali, et al.
Published: (2025)
BitBypass: A New Direction in Jailbreaking Aligned Large Language Models with Bitstream Camouflage
by: Nakka, Kalyan, et al.
Published: (2025)
by: Nakka, Kalyan, et al.
Published: (2025)
QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language
by: Zou, Qingsong, et al.
Published: (2025)
by: Zou, Qingsong, et al.
Published: (2025)
ConfGuard: A Simple and Effective Backdoor Detection for Large Language Models
by: Wang, Zihan, et al.
Published: (2025)
by: Wang, Zihan, et al.
Published: (2025)
A General Pseudonymization Framework for Cloud-Based LLMs: Replacing Privacy Information in Controlled Text Generation
by: Hou, Shilong, et al.
Published: (2025)
by: Hou, Shilong, et al.
Published: (2025)
Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs
by: Pathade, Chetan
Published: (2025)
by: Pathade, Chetan
Published: (2025)
The Model's Language Matters: A Comparative Privacy Analysis of LLMs
by: Mishra, Abhishek K., et al.
Published: (2025)
by: Mishra, Abhishek K., et al.
Published: (2025)
Fingerprinting LLMs via Prompt Injection
by: Hu, Yuepeng, et al.
Published: (2025)
by: Hu, Yuepeng, et al.
Published: (2025)
AgentBnB: A Browser-Based Cybersecurity Tabletop Exercise with Large Language Model Support and Retrieval-Aligned Scaffolding
by: Anwar, Arman, et al.
Published: (2025)
by: Anwar, Arman, et al.
Published: (2025)
Expected Harm: Rethinking Safety Evaluation of (Mis)Aligned LLMs
by: Chen, Yen-Shan, et al.
Published: (2026)
by: Chen, Yen-Shan, et al.
Published: (2026)
Tool Preferences in Agentic LLMs are Unreliable
by: Faghih, Kazem, et al.
Published: (2025)
by: Faghih, Kazem, et al.
Published: (2025)
Graded Suspiciousness of Adversarial Texts to Human
by: Tonni, Shakila Mahjabin, et al.
Published: (2024)
by: Tonni, Shakila Mahjabin, et al.
Published: (2024)
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis
by: Xie, Yueqi, et al.
Published: (2024)
by: Xie, Yueqi, et al.
Published: (2024)
ContextLeak: Auditing Leakage in Private In-Context Learning Methods
by: Choi, Jacob, et al.
Published: (2025)
by: Choi, Jacob, et al.
Published: (2025)
AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs
by: Kim, Jaehee, et al.
Published: (2026)
by: Kim, Jaehee, et al.
Published: (2026)
DP-MGTD: Privacy-Preserving Machine-Generated Text Detection via Adaptive Differentially Private Entity Sanitization
by: Wang, Lionel Z., et al.
Published: (2026)
by: Wang, Lionel Z., et al.
Published: (2026)
Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs
by: Liu, Honghao, et al.
Published: (2026)
by: Liu, Honghao, et al.
Published: (2026)
Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs
by: Sekar, Anirudh, et al.
Published: (2026)
by: Sekar, Anirudh, et al.
Published: (2026)
Rethinking Backdoor Detection Evaluation for Language Models
by: Yan, Jun, et al.
Published: (2024)
by: Yan, Jun, et al.
Published: (2024)
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy
by: Fu, Yu, et al.
Published: (2023)
by: Fu, Yu, et al.
Published: (2023)
Rubrics as an Attack Surface: Stealthy Preference Drift in LLM Judges
by: Ding, Ruomeng, et al.
Published: (2026)
by: Ding, Ruomeng, et al.
Published: (2026)
Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption
by: Liu, Yepeng, et al.
Published: (2025)
by: Liu, Yepeng, et al.
Published: (2025)
Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature
by: Zhou, Tong, et al.
Published: (2024)
by: Zhou, Tong, et al.
Published: (2024)
Hidden in Plain Text: Emergence & Mitigation of Steganographic Collusion in LLMs
by: Mathew, Yohan, et al.
Published: (2024)
by: Mathew, Yohan, et al.
Published: (2024)
Waterfall: Framework for Robust and Scalable Text Watermarking and Provenance for LLMs
by: Lau, Gregory Kang Ruey, et al.
Published: (2024)
by: Lau, Gregory Kang Ruey, et al.
Published: (2024)
Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality
by: Hoang, Duy C., et al.
Published: (2024)
by: Hoang, Duy C., et al.
Published: (2024)
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector
by: Fu, Wenjie, et al.
Published: (2024)
by: Fu, Wenjie, et al.
Published: (2024)
Similar Items
-
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection
by: Chen, Jiaqi, et al.
Published: (2024) -
Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack
by: Zhou, Ying, et al.
Published: (2024) -
PlanGuard: Defending Agents against Indirect Prompt Injection via Planning-based Consistency Verification
by: Gong, Guangyu, et al.
Published: (2026) -
Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training
by: Li, Yuanfan, et al.
Published: (2025) -
Privacy-Preserving Instructions for Aligning Large Language Models
by: Yu, Da, et al.
Published: (2024)