On the Evidentiary Limits of Membership Inference for Copyright Auditing
Fuente:
arXiv
Saved in:
| Main Authors: | Ertan, Murat Bilgehan, Böge, Emirhan, Chen, Min, Mahmood, Kaleel, van Dijk, Marten |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD
by: Ertan, Murat Bilgehan, et al.
Published: (2026)
by: Ertan, Murat Bilgehan, et al.
Published: (2026)
Trade-off Functions for DP-SGD with Subsampling based on Random Shuffling: Tight Upper and Lower Bounds
by: van Dijk, Marten, et al.
Published: (2026)
by: van Dijk, Marten, et al.
Published: (2026)
PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization
by: Ertan, Murat Bilgehan, et al.
Published: (2026)
by: Ertan, Murat Bilgehan, et al.
Published: (2026)
Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference
by: Chen, Depeng, et al.
Published: (2024)
by: Chen, Depeng, et al.
Published: (2024)
Exploring Membership Inference Vulnerabilities in Clinical Large Language Models
by: Nemecek, Alexander, et al.
Published: (2025)
by: Nemecek, Alexander, et al.
Published: (2025)
Membership Inference Attacks on Tokenizers of Large Language Models
by: Tong, Meng, et al.
Published: (2025)
by: Tong, Meng, et al.
Published: (2025)
Membership Inference Attacks on Recommender System: A Survey
by: He, Jiajie, et al.
Published: (2025)
by: He, Jiajie, et al.
Published: (2025)
Membership Inference Attacks Against Vision-Language Models
by: Hu, Yuke, et al.
Published: (2025)
by: Hu, Yuke, et al.
Published: (2025)
Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks
by: Luo, Jiayi, et al.
Published: (2025)
by: Luo, Jiayi, et al.
Published: (2025)
Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation
by: Li, Yuying, et al.
Published: (2024)
by: Li, Yuying, et al.
Published: (2024)
Auditing Data Membership in Reinforcement Learning With Verifiable Rewards
by: Liu, Yule, et al.
Published: (2025)
by: Liu, Yule, et al.
Published: (2025)
SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking
by: Yang, Wenyuan, et al.
Published: (2025)
by: Yang, Wenyuan, et al.
Published: (2025)
Biologically-Informed Hybrid Membership Inference Attacks on Generative Genomic Models
by: Belfiore, Asia, et al.
Published: (2025)
by: Belfiore, Asia, et al.
Published: (2025)
Win-k: Improved Membership Inference Attacks on Small Language Models
by: Arkhmammadova, Roya, et al.
Published: (2025)
by: Arkhmammadova, Roya, et al.
Published: (2025)
SoK: Large Language Model Copyright Auditing via Fingerprinting
by: Shao, Shuo, et al.
Published: (2025)
by: Shao, Shuo, et al.
Published: (2025)
Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing
by: Yin, Jinhua, et al.
Published: (2025)
by: Yin, Jinhua, et al.
Published: (2025)
Membership Inference for Contrastive Pre-training Models with Text-only PII Queries
by: Cheng, Ruoxi, et al.
Published: (2026)
by: Cheng, Ruoxi, et al.
Published: (2026)
MIA-EPT: Membership Inference Attack via Error Prediction for Tabular Data
by: German, Eyal, et al.
Published: (2025)
by: German, Eyal, et al.
Published: (2025)
Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks
by: Fu, Haowei, et al.
Published: (2025)
by: Fu, Haowei, et al.
Published: (2025)
SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
by: Zhang, Kaiyuan, et al.
Published: (2025)
by: Zhang, Kaiyuan, et al.
Published: (2025)
Membership Inference Attack with Partial Features
by: Wang, Xurun, et al.
Published: (2025)
by: Wang, Xurun, et al.
Published: (2025)
On Membership Inference Attacks in Knowledge Distillation
by: Cui, Ziyao, et al.
Published: (2025)
by: Cui, Ziyao, et al.
Published: (2025)
P-MIA: A Profiled-Based Membership Inference Attack on Cognitive Diagnosis Models
by: Hou, Mingliang, et al.
Published: (2025)
by: Hou, Mingliang, et al.
Published: (2025)
E-MIA: Exam-Style Black-Box Membership Inference Attacks against RAG Systems
by: Guan, Zelin, et al.
Published: (2026)
by: Guan, Zelin, et al.
Published: (2026)
CLMIA: Membership Inference Attacks via Unsupervised Contrastive Learning
by: Chen, Depeng, et al.
Published: (2024)
by: Chen, Depeng, et al.
Published: (2024)
Has My System Prompt Been Used? Large Language Model Prompt Membership Inference
by: Levin, Roman, et al.
Published: (2025)
by: Levin, Roman, et al.
Published: (2025)
Lost in Modality: Evaluating the Effectiveness of Text-Based Membership Inference Attacks on Large Multimodal Models
by: Tong, Ziyi, et al.
Published: (2025)
by: Tong, Ziyi, et al.
Published: (2025)
LUMIA: Linear probing for Unimodal and MultiModal Membership Inference Attacks leveraging internal LLM states
by: Ibanez-Lissen, Luis, et al.
Published: (2024)
by: Ibanez-Lissen, Luis, et al.
Published: (2024)
Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity
by: Jiménez-López, Daniel, et al.
Published: (2025)
by: Jiménez-López, Daniel, et al.
Published: (2025)
Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment
by: Chen, Tianyu, et al.
Published: (2025)
by: Chen, Tianyu, et al.
Published: (2025)
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning
by: Li, Jiaxin, et al.
Published: (2024)
by: Li, Jiaxin, et al.
Published: (2024)
Do Multimodal RAG Systems Leak Data? A Comprehensive Evaluation of Membership Inference and Image Caption Retrieval Attacks
by: Al-Lawati, Ali, et al.
Published: (2026)
by: Al-Lawati, Ali, et al.
Published: (2026)
Center-Based Relaxed Learning Against Membership Inference Attacks
by: Fang, Xingli, et al.
Published: (2024)
by: Fang, Xingli, et al.
Published: (2024)
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
by: Liu, Mingrui, et al.
Published: (2024)
by: Liu, Mingrui, et al.
Published: (2024)
Do Parameters Reveal More than Loss for Membership Inference?
by: Suri, Anshuman, et al.
Published: (2024)
by: Suri, Anshuman, et al.
Published: (2024)
Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks
by: Shi, Haonan, et al.
Published: (2024)
by: Shi, Haonan, et al.
Published: (2024)
Improved Membership Inference Attacks Against Language Classification Models
by: Shachor, Shlomit, et al.
Published: (2023)
by: Shachor, Shlomit, et al.
Published: (2023)
SMI: Statistical Membership Inference for Reliable Unlearned Model Auditing
by: Sun, Jialong, et al.
Published: (2026)
by: Sun, Jialong, et al.
Published: (2026)
Window-based Membership Inference Attacks Against Fine-tuned Large Language Models
by: Chen, Yuetian, et al.
Published: (2026)
by: Chen, Yuetian, et al.
Published: (2026)
Membership Inference Attacks on LLM-based Recommender Systems
by: He, Jiajie, et al.
Published: (2025)
by: He, Jiajie, et al.
Published: (2025)
Similar Items
-
Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD
by: Ertan, Murat Bilgehan, et al.
Published: (2026) -
Trade-off Functions for DP-SGD with Subsampling based on Random Shuffling: Tight Upper and Lower Bounds
by: van Dijk, Marten, et al.
Published: (2026) -
PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization
by: Ertan, Murat Bilgehan, et al.
Published: (2026) -
Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference
by: Chen, Depeng, et al.
Published: (2024) -
Exploring Membership Inference Vulnerabilities in Clinical Large Language Models
by: Nemecek, Alexander, et al.
Published: (2025)