False Sense of Security: Why Probing-based Malicious Input Detection Fails to Generalize
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Cheng, Wei, Zeming, Liu, Qin, Chen, Muhao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities
by: Mo, Lingbo, et al.
Published: (2023)
by: Mo, Lingbo, et al.
Published: (2023)
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors
by: Graf, Victoria, et al.
Published: (2024)
by: Graf, Victoria, et al.
Published: (2024)
Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting
by: Wang, Cheng, et al.
Published: (2026)
by: Wang, Cheng, et al.
Published: (2026)
Securing Multi-turn Conversational Language Models From Distributed Backdoor Triggers
by: Tong, Terry, et al.
Published: (2024)
by: Tong, Terry, et al.
Published: (2024)
Monotonic Paraphrasing Improves Generalization of Language Model Prompting
by: Liu, Qin, et al.
Published: (2024)
by: Liu, Qin, et al.
Published: (2024)
Multilingual Embedding Probes Fail to Generalize Across Learner Corpora
by: Lyngbaek, Laurits, et al.
Published: (2026)
by: Lyngbaek, Laurits, et al.
Published: (2026)
SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment
by: Liu, Qin, et al.
Published: (2024)
by: Liu, Qin, et al.
Published: (2024)
Why Retrieval-Augmented Generation Fails: A Graph Perspective
by: Guo, Kai, et al.
Published: (2026)
by: Guo, Kai, et al.
Published: (2026)
Tracking the Limits of Knowledge Propagation: How LLMs Fail at Multi-Step Reasoning with Conflicting Knowledge
by: Feng, Yiyang, et al.
Published: (2026)
by: Feng, Yiyang, et al.
Published: (2026)
Why Instruction-Based Unlearning Fails in Diffusion Models?
by: Zhang, Zeliang, et al.
Published: (2026)
by: Zhang, Zeliang, et al.
Published: (2026)
Why AI-Generated Text Detection Fails: Evidence from Explainable AI Beyond Benchmark Accuracy
by: Pudasaini, Shushanta, et al.
Published: (2026)
by: Pudasaini, Shushanta, et al.
Published: (2026)
Secure LLM Fine-Tuning via Safety-Aware Probing
by: Wu, Chengcan, et al.
Published: (2025)
by: Wu, Chengcan, et al.
Published: (2025)
Feature-Aware Malicious Output Detection and Mitigation
by: Dong, Weilong, et al.
Published: (2025)
by: Dong, Weilong, et al.
Published: (2025)
Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models
by: Zhu, Tinghui, et al.
Published: (2024)
by: Zhu, Tinghui, et al.
Published: (2024)
Accommodation and Epistemic Vigilance: A Pragmatic Account of Why LLMs Fail to Challenge Harmful Beliefs
by: Cheng, Myra, et al.
Published: (2026)
by: Cheng, Myra, et al.
Published: (2026)
Why Better Cross-Lingual Alignment Fails for Better Cross-Lingual Transfer: Case of Encoders
by: Veitsman, Yana, et al.
Published: (2026)
by: Veitsman, Yana, et al.
Published: (2026)
Why Chain of Thought Fails in Clinical Text Understanding
by: Wu, Jiageng, et al.
Published: (2025)
by: Wu, Jiageng, et al.
Published: (2025)
Why Gaussian Diffusion Models Fail on Discrete Data and How to Prevent It?
by: Shabalin, Alexander, et al.
Published: (2026)
by: Shabalin, Alexander, et al.
Published: (2026)
Detection Is Cheap, Routing Is Learned: Why Refusal-Based Alignment Evaluation Fails
by: Frank, Gregory N.
Published: (2026)
by: Frank, Gregory N.
Published: (2026)
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
by: Liu, Qin, et al.
Published: (2023)
by: Liu, Qin, et al.
Published: (2023)
Why Do LLM-based Web Agents Fail? A Hierarchical Planning Perspective
by: Aghzal, Mohamed, et al.
Published: (2026)
by: Aghzal, Mohamed, et al.
Published: (2026)
Why LoRA Fails to Forget: Regularized Low-Rank Adaptation Against Backdoors in Language Models
by: Luong, Hoang-Chau, et al.
Published: (2026)
by: Luong, Hoang-Chau, et al.
Published: (2026)
Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation
by: Jung, Dongwon, et al.
Published: (2024)
by: Jung, Dongwon, et al.
Published: (2024)
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
by: Liu, Xiaogeng, et al.
Published: (2023)
by: Liu, Xiaogeng, et al.
Published: (2023)
Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models
by: Xue, Chao, et al.
Published: (2026)
by: Xue, Chao, et al.
Published: (2026)
Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization
by: Zhang, Zheyuan, et al.
Published: (2026)
by: Zhang, Zheyuan, et al.
Published: (2026)
"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak
by: Mei, Lingrui, et al.
Published: (2024)
by: Mei, Lingrui, et al.
Published: (2024)
Why LLMs Fail at Causal Discovery and How Interventional Agents Escape
by: Roy, Amartya, et al.
Published: (2026)
by: Roy, Amartya, et al.
Published: (2026)
Why Do Speech Language Models Fail to Generate Semantically Coherent Outputs? A Modality Evolving Perspective
by: Wang, Hankun, et al.
Published: (2024)
by: Wang, Hankun, et al.
Published: (2024)
DebugLM: Learning Traceable Training Data Provenance for LLMs
by: Mo, Wenjie Jacky, et al.
Published: (2026)
by: Mo, Wenjie Jacky, et al.
Published: (2026)
DeepEdit: Knowledge Editing as Decoding with Constraints
by: Wang, Yiwei, et al.
Published: (2024)
by: Wang, Yiwei, et al.
Published: (2024)
Privacy-Preserving Language Model Inference with Instance Obfuscation
by: Yao, Yixiang, et al.
Published: (2024)
by: Yao, Yixiang, et al.
Published: (2024)
The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?
by: Yin, Hao, et al.
Published: (2025)
by: Yin, Hao, et al.
Published: (2025)
Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic Evaluations
by: Agarwal, Ananth, et al.
Published: (2025)
by: Agarwal, Ananth, et al.
Published: (2025)
Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction
by: Lu, Yi, et al.
Published: (2025)
by: Lu, Yi, et al.
Published: (2025)
The False Resonance: A Critical Examination of Emotion Embedding Similarity for Speech Generation Evaluation
by: Tsai, Yun-Shao, et al.
Published: (2026)
by: Tsai, Yun-Shao, et al.
Published: (2026)
Semantic and Contextual Modeling for Malicious Comment Detection with BERT-BiLSTM
by: Fang, Zhou, et al.
Published: (2025)
by: Fang, Zhou, et al.
Published: (2025)
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
by: Wan, Herun, et al.
Published: (2024)
by: Wan, Herun, et al.
Published: (2024)
More Rounds, More Noise: Why Multi-Turn Review Fails to Improve Cross-Context Verification
by: Tae-Eun, Song
Published: (2026)
by: Tae-Eun, Song
Published: (2026)
Large Language Models are Skeptics: False Negative Problem of Input-conflicting Hallucination
by: Song, Jongyoon, et al.
Published: (2024)
by: Song, Jongyoon, et al.
Published: (2024)
Similar Items
-
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities
by: Mo, Lingbo, et al.
Published: (2023) -
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors
by: Graf, Victoria, et al.
Published: (2024) -
Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting
by: Wang, Cheng, et al.
Published: (2026) -
Securing Multi-turn Conversational Language Models From Distributed Backdoor Triggers
by: Tong, Terry, et al.
Published: (2024) -
Monotonic Paraphrasing Improves Generalization of Language Model Prompting
by: Liu, Qin, et al.
Published: (2024)