Cover Image

Mitigating Data Poisoning Attacks to Local Differential Privacy

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Xiaolin, Li, Ninghui, Wang, Boyang, Sun, Wenhai
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning Attacks
by: Li, Xiaoguang, et al.
Published: (2024)

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

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

Poisoning Attacks to Local Differential Privacy Protocols for Trajectory Data
by: Hsu, I-Jung, et al.
Published: (2025)

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

Privacy-Preserving Federated Learning Scheme with Mitigating Model Poisoning Attacks: Vulnerabilities and Countermeasures
by: Wu, Jiahui, et al.
Published: (2025)

Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning
by: Xu, Runhua, et al.
Published: (2025)

Data Poisoning Attacks to Locally Differentially Private Frequent Itemset Mining Protocols
by: Tong, Wei, et al.
Published: (2024)

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

Data Poisoning Attacks to Locally Differentially Private Range Query Protocols
by: Liao, Ting-Wei, et al.
Published: (2025)

Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols
by: He, Longzhu, et al.
Published: (2025)

PEEL: A Poisoning-Exposing Encoding Theoretical Framework for Local Differential Privacy
by: Shuai, Lisha, et al.
Published: (2025)

Beyond Data Privacy: New Privacy Risks for Large Language Models
by: Du, Yuntao, et al.
Published: (2025)

Mitigating Backdoor Triggered and Targeted Data Poisoning Attacks in Voice Authentication Systems
by: Mohammadi, Alireza, et al.
Published: (2025)

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy
by: Wang, Zijian, et al.
Published: (2025)

Local Differential Privacy is Not Enough: A Sample Reconstruction Attack against Federated Learning with Local Differential Privacy
by: You, Zhichao, et al.
Published: (2025)

MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training
by: Li, Jiacheng, et al.
Published: (2023)

Sharpness-Aware Data Poisoning Attack
by: He, Pengfei, et al.
Published: (2023)

Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning
by: Kumar, K Naveen, et al.
Published: (2024)

Styx: Collaborative and Private Data Processing With TEE-Enforced Sticky Policy
by: Zhao, Shixuan, et al.
Published: (2026)

GShield: Mitigating Poisoning Attacks in Federated Learning
by: M., Sameera K., et al.
Published: (2025)

Systematic Assessment of Tabular Data Synthesis
by: Du, Yuntao, et al.
Published: (2024)

Curator Attack: When Blackbox Differential Privacy Auditing Loses Its Power
by: Wang, Shiming, et al.
Published: (2024)

Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution
by: Rattanavipanon, Norrathep, et al.
Published: (2024)

Differential Privacy in Federated Learning: Mitigating Inference Attacks with Randomized Response
by: Ozturk, Ozer, et al.
Published: (2025)

Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks
by: Xie, Chulin, et al.
Published: (2022)

Robustness of Locally Differentially Private Graph Analysis Against Poisoning
by: Imola, Jacob, et al.
Published: (2022)

Local Layer-wise Differential Privacy in Federated Learning
by: Li, Yunbo, et al.
Published: (2026)

Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services
by: Du, Rong, et al.
Published: (2025)

Don't Hash Me Like That: Exposing and Mitigating Hash-Induced Unfairness in Local Differential Privacy
by: Balioglu, Berkay Kemal, et al.
Published: (2025)

Imitative Membership Inference Attack
by: Du, Yuntao, et al.
Published: (2025)

VisPoison: An Effective Backdoor Attack Framework for Tabular Data Visualization Models
by: Li, Shuaimin, et al.
Published: (2024)

Fake Resume Attacks: Data Poisoning on Online Job Platforms
by: Yamashita, Michiharu, et al.
Published: (2024)

PoisonCatcher: Revealing and Identifying LDP Poisoning Attacks in IIoT
by: Shuai, Lisha, et al.
Published: (2024)

DEXO: A Secure and Fair Exchange Mechanism for Decentralized IoT Data Markets
by: Li, Yue, et al.
Published: (2025)

Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid
by: Riya, Farhin Farhad, et al.
Published: (2023)

Grid-Based Decompositions for Spatial Data under Local Differential Privacy
by: Balioglu, Berkay Kemal, et al.
Published: (2024)

Provable Watermarking for Data Poisoning Attacks
by: Zhu, Yifan, et al.
Published: (2025)

IndirectAD: Practical Data Poisoning Attacks against Recommender Systems for Item Promotion
by: Wang, Zihao, et al.
Published: (2025)

Local Distance Query with Differential Privacy
by: Sheng, Weihong, et al.
Published: (2025)