Cover Image

Curator Attack: When Blackbox Differential Privacy Auditing Loses Its Power

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Shiming, Xiang, Liyao, Cheng, Bowei, Ji, Zhe, Sun, Tianran, Wang, Xinbing
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models
by: Wang, Shiming, et al.
Published: (2024)

Privacy Audit as Bits Transmission: (Im)possibilities for Audit by One Run
by: Xiang, Zihang, et al.
Published: (2025)

Weights Shuffling for Improving DPSGD in Transformer-based Models
by: Yang, Jungang, et al.
Published: (2024)

Tight Privacy Audit in One Run
by: Xiang, Zihang, et al.
Published: (2025)

Mitigating Data Poisoning Attacks to Local Differential Privacy
by: Li, Xiaolin, et al.
Published: (2025)

Blackbox Dataset Inference for LLM
by: Zhou, Ruikai, et al.
Published: (2025)

BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks
by: Zheng, Meixi, et al.
Published: (2023)

KV-Auditor: Auditing Local Differential Privacy for Correlated Key-Value Estimation
by: Xu, Jingnan, et al.
Published: (2025)

Privacy in Theory, Bugs in Practice: Grey-Box Auditing of Differential Privacy Libraries
by: Cebere, Tudor, et al.
Published: (2026)

Permutation Equivariance of Transformers and Its Applications
by: Xu, Hengyuan, et al.
Published: (2023)

Sequentially Auditing Differential Privacy
by: González, Tomás, et al.
Published: (2025)

PrivCode: When Code Generation Meets Differential Privacy
by: Liu, Zheng, et al.
Published: (2025)

Auditing $f$-Differential Privacy in One Run
by: Mahloujifar, Saeed, et al.
Published: (2024)

Auditing Privacy Mechanisms via Label Inference Attacks
by: Busa-Fekete, Róbert István, et al.
Published: (2024)

Shuffling for Semantic Secrecy
by: Chen, Fupei, et al.
Published: (2025)

A Framework for Differential Privacy Against Timing Attacks
by: Ratliff, Zachary, et al.
Published: (2024)

Poisoning Attacks to Local Differential Privacy for Ranking Estimation
by: Zhan, Pei, et al.
Published: (2025)

Securing Unbounded Differential Privacy Against Timing Attacks
by: Ratliff, Zachary, et al.
Published: (2025)

Auditing Differential Privacy Guarantees Using Density Estimation
by: Koskela, Antti, et al.
Published: (2024)

LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy
by: Sun, Xinyue, et al.
Published: (2024)

Belt and Braces: When Federated Learning Meets Differential Privacy
by: Ren, Xuebin, et al.
Published: (2024)

Auditing Differential Privacy in the Black-Box Setting
by: Shi, Kaining, et al.
Published: (2025)

When FinTech Meets Privacy: Securing Financial LLMs with Differential Private Fine-Tuning
by: Zhu, Sichen, et al.
Published: (2025)

Robust Single-message Shuffle Differential Privacy Protocol for Accurate Distribution Estimation
by: Li, Xiaoguang, et al.
Published: (2026)

Membership Reference Attack against Laplace Mechanism of Differential Privacy
by: Huang, Wen
Published: (2024)

How Well Can Differential Privacy Be Audited in One Run?
by: Keinan, Amit, et al.
Published: (2025)

DiffAudit: Auditing Privacy Practices of Online Services for Children and Adolescents
by: Figueira, Olivia, et al.
Published: (2024)

Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems
by: Jin, Jiankai, et al.
Published: (2021)

Less is More: Revisiting the Gaussian Mechanism for Differential Privacy
by: Ji, Tianxi, et al.
Published: (2023)

Tight Auditing of Differential Privacy in MST and AIM
by: Ganev, Georgi, et al.
Published: (2026)

SilentLedger: Privacy-Preserving Auditing for Blockchains with Complete Non-Interactivity
by: Liu, Zihan, et al.
Published: (2025)

Network-Aware Differential Privacy
by: Li, Zhou, et al.
Published: (2025)

Purifying Approximate Differential Privacy with Randomized Post-processing
by: Lin, Yingyu, et al.
Published: (2025)

Privacy Auditing with Zero (0) Training Run
by: Cebere, Tudor, et al.
Published: (2026)

FedFDP: Fairness-Aware Federated Learning with Differential Privacy
by: Ling, Xinpeng, et al.
Published: (2024)

Fine-grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams
by: Li, Xinyu, et al.
Published: (2025)

Towards Code Watermarking with Dual-Channel Transformations
by: Yang, Borui, et al.
Published: (2023)

Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data Synthesis
by: Ward, Joshua, et al.
Published: (2025)

Benchmarking Secure Sampling Protocols for Differential Privacy
by: Fu, Yucheng, et al.
Published: (2024)

Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs
by: He, Xi, et al.
Published: (2024)