Saved in:
| Main Authors: | Liu, Terrance, Boglioni, Matteo, Fu, Yiwei, Hu, Shengyuan, Thaker, Pratiksha, Wu, Zhiwei Steven |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.15349 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimizing Canaries for Privacy Auditing with Metagradient Descent
by: Boglioni, Matteo, et al.
Published: (2025)
by: Boglioni, Matteo, et al.
Published: (2025)
Membership Inference Attacks for Unseen Classes
by: Thaker, Pratiksha, et al.
Published: (2025)
by: Thaker, Pratiksha, et al.
Published: (2025)
Generate-then-Verify: Reconstructing Data from Limited Published Statistics
by: Liu, Terrance, et al.
Published: (2025)
by: Liu, Terrance, et al.
Published: (2025)
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
by: Thaker, Pratiksha, et al.
Published: (2023)
by: Thaker, Pratiksha, et al.
Published: (2023)
Winning the MIDST Challenge: New Membership Inference Attacks on Diffusion Models for Tabular Data Synthesis
by: Wu, Xiaoyu, et al.
Published: (2025)
by: Wu, Xiaoyu, et al.
Published: (2025)
The Sample Complexity of Membership Inference and Privacy Auditing
by: Haghifam, Mahdi, et al.
Published: (2025)
by: Haghifam, Mahdi, et al.
Published: (2025)
Lower Bounds for Public-Private Learning under Distribution Shift
by: Setlur, Amrith, et al.
Published: (2025)
by: Setlur, Amrith, 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)
On the Evidentiary Limits of Membership Inference for Copyright Auditing
by: Ertan, Murat Bilgehan, et al.
Published: (2026)
by: Ertan, Murat Bilgehan, et al.
Published: (2026)
Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set
by: Fu, Jie, et al.
Published: (2026)
by: Fu, Jie, et al.
Published: (2026)
Tight Privacy Audit in One Run
by: Xiang, Zihang, et al.
Published: (2025)
by: Xiang, Zihang, 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)
Privacy Audit as Bits Transmission: (Im)possibilities for Audit by One Run
by: Xiang, Zihang, et al.
Published: (2025)
by: Xiang, Zihang, et al.
Published: (2025)
Bayes-Nash Generative Privacy Against Membership Inference Attacks
by: Zhang, Tao, et al.
Published: (2024)
by: Zhang, Tao, et al.
Published: (2024)
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
by: Xue, Jing, et al.
Published: (2025)
by: Xue, Jing, et al.
Published: (2025)
Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM
by: Wu, Xiaoyu, et al.
Published: (2025)
by: Wu, Xiaoyu, et al.
Published: (2025)
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
by: Wen, Yuxin, et al.
Published: (2024)
by: Wen, Yuxin, et al.
Published: (2024)
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
by: Liu, Zhenlong, et al.
Published: (2024)
by: Liu, Zhenlong, et al.
Published: (2024)
Auditing $f$-Differential Privacy in One Run
by: Mahloujifar, Saeed, et al.
Published: (2024)
by: Mahloujifar, Saeed, et al.
Published: (2024)
SeqMIA: Sequential-Metric Based Membership Inference Attack
by: Li, Hao, et al.
Published: (2024)
by: Li, Hao, et al.
Published: (2024)
Membership Inference Attacks and Privacy in Topic Modeling
by: Manzonelli, Nico, et al.
Published: (2024)
by: Manzonelli, Nico, et al.
Published: (2024)
When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models
by: Hu, Ruihan, et al.
Published: (2026)
by: Hu, Ruihan, 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)
Auditing Privacy Mechanisms via Label Inference Attacks
by: Busa-Fekete, Róbert István, et al.
Published: (2024)
by: Busa-Fekete, Róbert István, et al.
Published: (2024)
OSLO: One-Shot Label-Only Membership Inference Attacks
by: Peng, Yuefeng, et al.
Published: (2024)
by: Peng, Yuefeng, et al.
Published: (2024)
United We Defend: Collaborative Membership Inference Defenses in Federated Learning
by: Bai, Li, et al.
Published: (2026)
by: Bai, Li, et al.
Published: (2026)
Bits for Privacy: Evaluating Post-Training Quantization via Membership Inference
by: Zhang, Chenxiang, et al.
Published: (2025)
by: Zhang, Chenxiang, et al.
Published: (2025)
A Critical Review on the Effectiveness and Privacy Threats of Membership Inference Attacks
by: Jebreel, Najeeb, et al.
Published: (2026)
by: Jebreel, Najeeb, et al.
Published: (2026)
SMI: Statistical Membership Inference for Reliable Unlearned Model Auditing
by: Sun, Jialong, et al.
Published: (2026)
by: Sun, Jialong, et al.
Published: (2026)
How Well Can Differential Privacy Be Audited in One Run?
by: Keinan, Amit, et al.
Published: (2025)
by: Keinan, Amit, et al.
Published: (2025)
Membership Inference Attacks and Defenses in Federated Learning: A Survey
by: Bai, Li, et al.
Published: (2024)
by: Bai, Li, et al.
Published: (2024)
Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning
by: Ahamed, Sayyed Farid, et al.
Published: (2024)
by: Ahamed, Sayyed Farid, et al.
Published: (2024)
Membership Inference Attacks Against Vision-Language Models
by: Hu, Yuke, et al.
Published: (2025)
by: Hu, Yuke, et al.
Published: (2025)
A Bayesian Approach to Membership Inference for Statistical Release
by: Oakley, Lisa, et al.
Published: (2026)
by: Oakley, Lisa, et al.
Published: (2026)
Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks
by: Shi, Haonan, et al.
Published: (2024)
by: Shi, Haonan, et al.
Published: (2024)
DiffAudit: Auditing Privacy Practices of Online Services for Children and Adolescents
by: Figueira, Olivia, et al.
Published: (2024)
by: Figueira, Olivia, et al.
Published: (2024)
VoxGuard: Evaluating User and Attribute Privacy in Speech via Membership Inference Attacks
by: Tsaprazlis, Efthymios, et al.
Published: (2025)
by: Tsaprazlis, Efthymios, et al.
Published: (2025)
Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features
by: Teixeira, Francisco, et al.
Published: (2024)
by: Teixeira, Francisco, et al.
Published: (2024)
Membership Inference Attacks Against Video Large Language Models
by: Song, Wei, et al.
Published: (2026)
by: Song, Wei, et al.
Published: (2026)
Security and Privacy Enhancing in Blockchain-based IoT Environments via Anonym Auditing
by: Khordadpour, Peyman, et al.
Published: (2024)
by: Khordadpour, Peyman, et al.
Published: (2024)
Similar Items
-
Optimizing Canaries for Privacy Auditing with Metagradient Descent
by: Boglioni, Matteo, et al.
Published: (2025) -
Membership Inference Attacks for Unseen Classes
by: Thaker, Pratiksha, et al.
Published: (2025) -
Generate-then-Verify: Reconstructing Data from Limited Published Statistics
by: Liu, Terrance, et al.
Published: (2025) -
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
by: Thaker, Pratiksha, et al.
Published: (2023) -
Winning the MIDST Challenge: New Membership Inference Attacks on Diffusion Models for Tabular Data Synthesis
by: Wu, Xiaoyu, et al.
Published: (2025)