Saved in:
| Main Authors: | Mozaffari, Hamid, Marathe, Virendra J. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.10218 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Permissioned LLMs: Enforcing Access Control in Large Language Models
by: Jayaraman, Bargav, et al.
Published: (2025)
by: Jayaraman, Bargav, et al.
Published: (2025)
Membership Inference Attacks against Large Vision-Language Models
by: Li, Zhan, et al.
Published: (2024)
by: Li, Zhan, et al.
Published: (2024)
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models
by: Chang, Hongyan, et al.
Published: (2024)
by: Chang, Hongyan, et al.
Published: (2024)
Toward Efficient Membership Inference Attacks against Federated Large Language Models: A Projection Residual Approach
by: Deng, Guilin, et al.
Published: (2026)
by: Deng, Guilin, et al.
Published: (2026)
Automatic Calibration for Membership Inference Attack on Large Language Models
by: Zade, Saleh Zare, et al.
Published: (2025)
by: Zade, Saleh Zare, et al.
Published: (2025)
Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration
by: Fu, Wenjie, et al.
Published: (2023)
by: Fu, Wenjie, et al.
Published: (2023)
Membership and Dataset Inference Attacks on Large Audio Generative Models
by: Proboszcz, Jakub, et al.
Published: (2025)
by: Proboszcz, Jakub, et al.
Published: (2025)
Membership Inference Attacks on Discrete Diffusion Language Models
by: Kasivelrajan, Shailesh
Published: (2026)
by: Kasivelrajan, Shailesh
Published: (2026)
Range Membership Inference Attacks
by: Tao, Jiashu, et al.
Published: (2024)
by: Tao, Jiashu, et al.
Published: (2024)
Membership Inference Attacks on Sequence Models
by: Rossi, Lorenzo, et al.
Published: (2025)
by: Rossi, Lorenzo, et al.
Published: (2025)
Membership Inference Attacks on Large-Scale Models: A Survey
by: Wu, Hengyu, et al.
Published: (2025)
by: Wu, Hengyu, et al.
Published: (2025)
Curation Leaks: Membership Inference Attacks against Data Curation for Machine Learning
by: Wahdany, Dariush, et al.
Published: (2026)
by: Wahdany, Dariush, et al.
Published: (2026)
Imitative Membership Inference Attack
by: Du, Yuntao, et al.
Published: (2025)
by: Du, Yuntao, et al.
Published: (2025)
Causal Evaluation of Membership Inference Attacks
by: Even, Mathieu, et al.
Published: (2026)
by: Even, Mathieu, et al.
Published: (2026)
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models
by: Puerto, Haritz, et al.
Published: (2024)
by: Puerto, Haritz, 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)
DocMIA: Document-Level Membership Inference Attacks against DocVQA Models
by: Nguyen, Khanh, et al.
Published: (2025)
by: Nguyen, Khanh, et al.
Published: (2025)
Membership Inference Attacks Against Fine-tuned Diffusion Language Models
by: Chen, Yuetian, et al.
Published: (2026)
by: Chen, Yuetian, et al.
Published: (2026)
Sequential Membership Inference Attacks
by: Michel, Thomas, et al.
Published: (2026)
by: Michel, Thomas, et al.
Published: (2026)
AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation
by: Ren, Heqing, et al.
Published: (2025)
by: Ren, Heqing, et al.
Published: (2025)
Membership Inference Attacks and Privacy in Topic Modeling
by: Manzonelli, Nico, et al.
Published: (2024)
by: Manzonelli, Nico, et al.
Published: (2024)
Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks
by: Dai, Jiazhu, et al.
Published: (2025)
by: Dai, Jiazhu, et al.
Published: (2025)
Membership Inference Attacks for Unseen Classes
by: Thaker, Pratiksha, et al.
Published: (2025)
by: Thaker, Pratiksha, et al.
Published: (2025)
Membership Inference Attacks Beyond Overfitting
by: Khalil, Mona, et al.
Published: (2025)
by: Khalil, Mona, et al.
Published: (2025)
Cascading and Proxy Membership Inference Attacks
by: Du, Yuntao, et al.
Published: (2025)
by: Du, Yuntao, et al.
Published: (2025)
Membership Inference Attacks Against Time-Series Models
by: Koren, Noam, et al.
Published: (2024)
by: Koren, Noam, et al.
Published: (2024)
Privacy-Preserving Low-Rank Adaptation against Membership Inference Attacks for Latent Diffusion Models
by: Luo, Zihao, et al.
Published: (2024)
by: Luo, Zihao, et al.
Published: (2024)
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)
SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks
by: Amit, Guy, et al.
Published: (2024)
by: Amit, Guy, et al.
Published: (2024)
TAMIS: Tailored Membership Inference Attacks on Synthetic Data
by: Andrey, Paul, et al.
Published: (2025)
by: Andrey, Paul, et al.
Published: (2025)
SoK: Challenges in Tabular Membership Inference Attacks
by: Pêra, Cristina, et al.
Published: (2026)
by: Pêra, Cristina, et al.
Published: (2026)
Practical Bayes-Optimal Membership Inference Attacks
by: Lassila, Marcus, et al.
Published: (2025)
by: Lassila, Marcus, et al.
Published: (2025)
Hyperparameters in Score-Based Membership Inference Attacks
by: Pradhan, Gauri, et al.
Published: (2025)
by: Pradhan, Gauri, et al.
Published: (2025)
Ensembling Membership Inference Attacks Against Tabular Generative Models
by: Ward, Joshua, et al.
Published: (2025)
by: Ward, Joshua, et al.
Published: (2025)
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
by: Aubinais, Eric, et al.
Published: (2023)
by: Aubinais, Eric, et al.
Published: (2023)
Fake or Compromised? Making Sense of Malicious Clients in Federated Learning
by: Mozaffari, Hamid, et al.
Published: (2024)
by: Mozaffari, Hamid, et al.
Published: (2024)
MAED: Mathematical Activation Error Detection for Mitigating Physical Fault Attacks in DNN Inference
by: Ahmadi, Kasra, et al.
Published: (2026)
by: Ahmadi, Kasra, et al.
Published: (2026)
Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training
by: Tran, Toan, et al.
Published: (2025)
by: Tran, Toan, et al.
Published: (2025)
ReMIA: a Powerful and Efficient Alternative to Membership Inference Attacks against Synthetic Data Generators
by: Scassola, Davide, et al.
Published: (2026)
by: Scassola, Davide, et al.
Published: (2026)
Similar Items
-
Permissioned LLMs: Enforcing Access Control in Large Language Models
by: Jayaraman, Bargav, et al.
Published: (2025) -
Membership Inference Attacks against Large Vision-Language Models
by: Li, Zhan, et al.
Published: (2024) -
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models
by: Chang, Hongyan, et al.
Published: (2024) -
Toward Efficient Membership Inference Attacks against Federated Large Language Models: A Projection Residual Approach
by: Deng, Guilin, et al.
Published: (2026) -
Automatic Calibration for Membership Inference Attack on Large Language Models
by: Zade, Saleh Zare, et al.
Published: (2025)