Copertina

LDP$^3$: An Extensible and Multi-Threaded Toolkit for Local Differential Privacy Protocols and Post-Processing Methods

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Balioglu, Berkay Kemal, Khodaie, Alireza, Gursoy, Mehmet Emre
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Post-Processing in Local Differential Privacy: An Extensive Evaluation and Benchmark Platform
di: Khodaie, Alireza, et al.
Pubblicazione: (2025)

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

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

MTSP-LDP: A Framework for Multi-Task Streaming Data Publication under Local Differential Privacy
di: Liu, Chang, et al.
Pubblicazione: (2025)

ThreadFuzzer: Fuzzing Framework for Thread Protocol
di: Siroš, Ilja, et al.
Pubblicazione: (2025)

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

Accuracy-First Rényi Differential Privacy and Post-Processing Immunity
di: Räisä, Ossi, et al.
Pubblicazione: (2025)

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

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

K-stars LDP: A Novel Framework for (p, q)-clique Enumeration under Local Differential Privacy
di: Sun, Henan, et al.
Pubblicazione: (2024)

Optimal Privacy-Utility Trade-Offs in LDP: Functional and Geometric Perspectives
di: Nam, Seung-Hyun, et al.
Pubblicazione: (2026)

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

Extensible Post Quantum Cryptography Based Authentication
di: Riva-Cambrin, Homer A., et al.
Pubblicazione: (2025)

Defending Against Beta Poisoning Attacks in Machine Learning Models
di: Gulciftci, Nilufer, et al.
Pubblicazione: (2025)

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

Multi-class Item Mining under Local Differential Privacy
di: Mao, Yulian, et al.
Pubblicazione: (2025)

Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance
di: Arcolezi, Héber H., et al.
Pubblicazione: (2025)

Injecting Bias into Text Classification Models using Backdoor Attacks
di: Yavuz, A. Dilara, et al.
Pubblicazione: (2024)

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

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

Frequency Estimation of Correlated Multi-attribute Data under Local Differential Privacy
di: Seeam, Shafizur Rahman, et al.
Pubblicazione: (2025)

Augmented Shuffle Protocols for Accurate and Robust Frequency Estimation under Differential Privacy
di: Murakami, Takao, et al.
Pubblicazione: (2025)

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

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

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

Bipartite Randomized Response Mechanism for Local Differential Privacy
di: Zhang, Shun, et al.
Pubblicazione: (2025)

Local Differential Privacy for Tensors in Distributed Computing Systems
di: Yuan, Yachao, et al.
Pubblicazione: (2025)

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

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data
di: Murakami, Takao, et al.
Pubblicazione: (2025)

High-Probability Bounds For Heterogeneous Local Differential Privacy
di: Aliakbarpour, Maryam, et al.
Pubblicazione: (2025)

Win-k: Improved Membership Inference Attacks on Small Language Models
di: Arkhmammadova, Roya, et al.
Pubblicazione: (2025)

Calyx: Privacy-Preserving Multi-Token Optimistic-Rollup Protocol
di: Apel, Dominik, et al.
Pubblicazione: (2025)

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

Local Differential Privacy for Federated Learning with Fixed Memory Usage and Per-Client Privacy
di: Behnia, Rouzbeh, et al.
Pubblicazione: (2025)

Strategic Sample Selection for Improved Clean-Label Backdoor Attacks in Text Classification
di: Kirci, Onur Alp, et al.
Pubblicazione: (2025)

Practical Implications of Implementing Local Differential Privacy for Smart grids
di: Hafeez, Khadija, et al.
Pubblicazione: (2025)

Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective
di: Arcolezi, Héber H., et al.
Pubblicazione: (2023)

Beyond Epsilon: A Principled QIF Framework for Local Differential Privacy
di: Gonze, Ramon G., et al.
Pubblicazione: (2026)

Efficient Verifiable Differential Privacy with Input Authenticity in the Local and Shuffle Model
di: Bontekoe, Tariq, et al.
Pubblicazione: (2024)

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