:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Perez, Iker, Wong, Jason, Skalski, Piotr, Burrell, Stuart, Mortier, Richard, McAuley, Derek, Sutton, David
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Machine Learning
Online Access:	https://arxiv.org/abs/2401.02450
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences
by: Skalski, Piotr, et al.
Published: (2024)

Benchmarking Fraud Detectors on Private Graph Data
by: Goldberg, Alexander, et al.
Published: (2025)

Differentially Private Empirical Cumulative Distribution Functions
by: Barczewski, Antoine, et al.
Published: (2025)

Preserving Target Distributions With Differentially Private Count Mechanisms
by: Kohli, Nitin, et al.
Published: (2026)

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

Locally Differentially Private In-Context Learning
by: Zheng, Chunyan, et al.
Published: (2024)

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

AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation
by: Wei, Fei, et al.
Published: (2024)

Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
by: Chen, Ziqin, et al.
Published: (2023)

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

Benchmarking Differentially Private Tabular Data Synthesis
by: Chen, Kai, et al.
Published: (2025)

Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges
by: Kamalaruban, Parameswaran, et al.
Published: (2024)

Cookie Monster: Efficient On-device Budgeting for Differentially-Private Ad-Measurement Systems
by: Tholoniat, Pierre, et al.
Published: (2024)

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

Exactly Minimax-Optimal Locally Differentially Private Sampling
by: Park, Hyun-Young, et al.
Published: (2024)

Distributed HDMM: Scalable, Distributed, Accurate, and Differentially Private Query Workloads without a Trusted Curator
by: Sedimo, Ratang, et al.
Published: (2025)

S-BDT: Distributed Differentially Private Boosted Decision Trees
by: Peinemann, Thorsten, et al.
Published: (2023)

Functional Approximation Methods for Differentially Private Distribution Estimation
by: Tao, Ye, et al.
Published: (2025)

Advances in Differential Privacy and Differentially Private Machine Learning
by: Das, Saswat, et al.
Published: (2024)

Dobrushin Coefficients of Private Mechanisms Beyond Local Differential Privacy
by: Grosse, Leonhard, et al.
Published: (2026)

Improving Count-Mean Sketch as the Leading Locally Differentially Private Frequency Estimator for Large Dictionaries
by: Pan, Mingen
Published: (2024)

Distributed Differentially Private Data Analytics via Secure Sketching
by: Burkhardt, Jakob, et al.
Published: (2024)

Differentially Private Sampling from Distributions via Wasserstein Projection
by: Takakura, Shokichi, et al.
Published: (2026)

CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing
by: Wang, Rui, et al.
Published: (2025)

Utilizing Blockchain and Smart Contracts for Enhanced Fraud Prevention and Minimization in Health Insurance through Multi-Signature Claim Processing
by: Amin, Md Al, et al.
Published: (2024)

Majority Vote for Distributed Differentially Private Sign Selection
by: Liu, Weidong, et al.
Published: (2022)

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

Locally Differentially Private Frequency Estimation via Joint Randomized Response
by: Zheng, Ye, et al.
Published: (2025)

DP-BART for Privatized Text Rewriting under Local Differential Privacy
by: Igamberdiev, Timour, et al.
Published: (2023)

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

ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations
by: Ling, Xinpeng, et al.
Published: (2023)

Differentially Private Inductive Miner
by: Schulze, Max, et al.
Published: (2024)

Differentially Private Explanations for Clusters
by: Gilad, Amir, et al.
Published: (2025)

Differentially Private Distributed Inference
by: Papachristou, Marios, et al.
Published: (2024)

Differentially Private Distance Query with Asymmetric Noise
by: Sheng, Weihong, et al.
Published: (2025)

Missing Mass for Differentially Private Domain Discovery
by: Dick, Travis, et al.
Published: (2026)

Differentially Private aggregate hints in mev-share
by: Passerat-Palmbach, Jonathan, et al.
Published: (2025)

DP-RuL: Differentially-Private Rule Learning for Clinical Decision Support Systems
by: Lamp, Josephine, et al.
Published: (2024)

Correlated Noise Mechanisms for Differentially Private Learning
by: Pillutla, Krishna, et al.
Published: (2025)

Differentially Private Nonparametric Confidence Intervals Under Minimal Distributional Assumptions
by: Shoham, Tomer, et al.
Published: (2025)