A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Cai, Yinpeng, Li, Lexin, Zhang, Linjun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Covariance Matrix: The Statistical Complexity of Private Linear Regression
by: Chen, Fan, et al.
Published: (2025)
by: Chen, Fan, et al.
Published: (2025)
A Statistical Viewpoint on Differential Privacy: Hypothesis Testing, Representation and Blackwell's Theorem
by: Su, Weijie J.
Published: (2024)
by: Su, Weijie J.
Published: (2024)
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
by: Xia, Xintao, et al.
Published: (2024)
by: Xia, Xintao, et al.
Published: (2024)
Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference
by: Zhang, Zhe, et al.
Published: (2024)
by: Zhang, Zhe, et al.
Published: (2024)
Optimal Detection for Language Watermarks with Pseudorandom Collision
by: Cai, T. Tony, et al.
Published: (2025)
by: Cai, T. Tony, et al.
Published: (2025)
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning
by: Cai, T. Tony, et al.
Published: (2023)
by: Cai, T. Tony, et al.
Published: (2023)
Detecting Training Data of Large Language Models via Expectation Maximization
by: Kim, Gyuwan, et al.
Published: (2024)
by: Kim, Gyuwan, et al.
Published: (2024)
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy
by: Kaissis, Georgios, et al.
Published: (2024)
by: Kaissis, Georgios, et al.
Published: (2024)
Attack-Aware Noise Calibration for Differential Privacy
by: Kulynych, Bogdan, et al.
Published: (2024)
by: Kulynych, Bogdan, et al.
Published: (2024)
Memories Retrieved from Many Paths: A Multi-Prefix Framework for Robust Detection of Training Data Leakage in Large Language Models
by: Dang, Trung Cuong, et al.
Published: (2025)
by: Dang, Trung Cuong, et al.
Published: (2025)
Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring
by: Hua, Peichun, et al.
Published: (2025)
by: Hua, Peichun, et al.
Published: (2025)
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem
by: Pichler, Georg, et al.
Published: (2024)
by: Pichler, Georg, et al.
Published: (2024)
Evading Data Contamination Detection for Language Models is (too) Easy
by: Dekoninck, Jasper, et al.
Published: (2024)
by: Dekoninck, Jasper, et al.
Published: (2024)
Residual Feature Integration is Sufficient to Prevent Negative Transfer
by: Xu, Yichen, et al.
Published: (2025)
by: Xu, Yichen, et al.
Published: (2025)
SVIP: Towards Verifiable Inference of Open-source Large Language Models
by: Sun, Yifan, et al.
Published: (2024)
by: Sun, Yifan, et al.
Published: (2024)
Time Travel in LLMs: Tracing Data Contamination in Large Language Models
by: Golchin, Shahriar, et al.
Published: (2023)
by: Golchin, Shahriar, et al.
Published: (2023)
A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
An Information-Geometric Framework for Stability Analysis of Large Language Models under Entropic Stress
by: Karimov, Hikmat, et al.
Published: (2026)
by: Karimov, Hikmat, et al.
Published: (2026)
On the Role of Attention Heads in Large Language Model Safety
by: Zhou, Zhenhong, et al.
Published: (2024)
by: Zhou, Zhenhong, et al.
Published: (2024)
The Resurgence of GCG Adversarial Attacks on Large Language Models
by: Tan, Yuting, et al.
Published: (2025)
by: Tan, Yuting, et al.
Published: (2025)
KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
by: Li, Yuexin, et al.
Published: (2024)
by: Li, Yuexin, et al.
Published: (2024)
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes
by: Hu, Xiaomeng, et al.
Published: (2024)
by: Hu, Xiaomeng, et al.
Published: (2024)
Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking
by: Xu, Yijie, et al.
Published: (2025)
by: Xu, Yijie, et al.
Published: (2025)
EnJa: Ensemble Jailbreak on Large Language Models
by: Zhang, Jiahao, et al.
Published: (2024)
by: Zhang, Jiahao, et al.
Published: (2024)
Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models
by: Bai, Yang, et al.
Published: (2024)
by: Bai, Yang, et al.
Published: (2024)
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
by: Yuan, Hongbang, et al.
Published: (2024)
by: Yuan, Hongbang, et al.
Published: (2024)
Faster-GCG: Efficient Discrete Optimization Jailbreak Attacks against Aligned Large Language Models
by: Li, Xiao, et al.
Published: (2024)
by: Li, Xiao, et al.
Published: (2024)
Instructional Fingerprinting of Large Language Models
by: Xu, Jiashu, et al.
Published: (2024)
by: Xu, Jiashu, et al.
Published: (2024)
On Differentially Private U Statistics
by: Chaudhuri, Kamalika, et al.
Published: (2024)
by: Chaudhuri, Kamalika, et al.
Published: (2024)
Causal Digital Twins for Cyber-Physical Security: A Framework for Robust Anomaly Detection in Industrial Control Systems
by: Homaei, Mohammadhossein, et al.
Published: (2025)
by: Homaei, Mohammadhossein, et al.
Published: (2025)
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
by: Wang, Zhepeng, et al.
Published: (2024)
by: Wang, Zhepeng, et al.
Published: (2024)
Probing the Robustness of Large Language Models Safety to Latent Perturbations
by: Gu, Tianle, et al.
Published: (2025)
by: Gu, Tianle, et al.
Published: (2025)
LeCov: Multi-level Testing Criteria for Large Language Models
by: Xie, Xuan, et al.
Published: (2024)
by: Xie, Xuan, et al.
Published: (2024)
Large Language Models in Cybersecurity: State-of-the-Art
by: Motlagh, Farzad Nourmohammadzadeh, et al.
Published: (2024)
by: Motlagh, Farzad Nourmohammadzadeh, et al.
Published: (2024)
Duwak: Dual Watermarks in Large Language Models
by: Zhu, Chaoyi, et al.
Published: (2024)
by: Zhu, Chaoyi, et al.
Published: (2024)
Jailbreaking Large Language Models with Symbolic Mathematics
by: Bethany, Emet, et al.
Published: (2024)
by: Bethany, Emet, et al.
Published: (2024)
Jailbreak Attacks and Defenses Against Large Language Models: A Survey
by: Yi, Sibo, et al.
Published: (2024)
by: Yi, Sibo, et al.
Published: (2024)
Pandora's White-Box: Precise Training Data Detection and Extraction in Large Language Models
by: Wang, Jeffrey G., et al.
Published: (2024)
by: Wang, Jeffrey G., et al.
Published: (2024)
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
by: Yuan, Zhuowen, et al.
Published: (2024)
by: Yuan, Zhuowen, et al.
Published: (2024)
Machine Unlearning of Pre-trained Large Language Models
by: Yao, Jin, et al.
Published: (2024)
by: Yao, Jin, et al.
Published: (2024)
Similar Items
-
Beyond Covariance Matrix: The Statistical Complexity of Private Linear Regression
by: Chen, Fan, et al.
Published: (2025) -
A Statistical Viewpoint on Differential Privacy: Hypothesis Testing, Representation and Blackwell's Theorem
by: Su, Weijie J.
Published: (2024) -
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
by: Xia, Xintao, et al.
Published: (2024) -
Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference
by: Zhang, Zhe, et al.
Published: (2024) -
Optimal Detection for Language Watermarks with Pseudorandom Collision
by: Cai, T. Tony, et al.
Published: (2025)