:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Miranda, Michele, Yan, Xinlan, Mishra, Nishant, Murphy, Rachel, Abu-Hanna, Ameen, Bratières, Sébastien, Calixto, Iacer
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Artificial Intelligence Computation and Language
Online Access:	https://arxiv.org/abs/2604.21421
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
by: Miranda, Michele, et al.
Published: (2024)

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

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

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

Graph Reconstruction from Differentially Private GNN Explanations
by: Sahoo, Rishi Raj, et al.
Published: (2026)

DistillNote: Toward a Functional Evaluation Framework of LLM-Generated Clinical Note Summaries
by: Boll, Heloisa Oss, et al.
Published: (2025)

Training Set Reconstruction from Differentially Private Forests: How Effective is DP?
by: Gorgé, Alice, et al.
Published: (2025)

Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
by: Redberg, Rachel, et al.
Published: (2023)

Detection of Adverse Drug Events in Dutch clinical free text documents using Transformer Models: benchmark study
by: Murphy, Rachel M., et al.
Published: (2025)

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

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

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

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

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

Differentially Private Empirical Cumulative Distribution Functions
by: Barczewski, Antoine, 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)

Prompt Control-Flow Integrity: A Priority-Aware Runtime Defense Against Prompt Injection in LLM Systems
by: Alam, Md Takrim Ul, et al.
Published: (2026)

Scaling an ISO Compliance Practice: Strategic Insights from Building a \$1m+ Cybersecurity Certification Line
by: Sonkar, Nishant
Published: (2025)

Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists
by: Ly, Timothée, et al.
Published: (2024)

Differentially Private Stream Processing at Scale
by: Zhang, Bing, et al.
Published: (2023)

Scalable Differentially Private Sketches under Continual Observation
by: Holland, Rayne
Published: (2025)

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

Face De-identification: State-of-the-art Methods and Comparative Studies
by: Cao, Jingyi, et al.
Published: (2024)

Delving into Differentially Private Transformer
by: Ding, Youlong, et al.
Published: (2024)

Differentially Private Attention Computation
by: Gao, Yeqi, et al.
Published: (2023)

Differentially Private Diffusion Models
by: Dockhorn, Tim, et al.
Published: (2022)

TRUCE: Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs
by: Rajore, Tanmay, et al.
Published: (2024)

Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model
by: Cummings, Rachel, et al.
Published: (2025)

Privately Learning Decision Lists and a Differentially Private Winnow
by: Bun, Mark, et al.
Published: (2026)

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

Bilateral Differentially Private Vertical Federated Boosted Decision Trees
by: Zhang, Bokang, et al.
Published: (2025)

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

Differentially Private Spatiotemporal Trajectory Synthesis with Retained Data Utility
by: Ge, Yuqing, et al.
Published: (2024)

Differentially Private Multi-objective Selection: Pareto and Aggregation Approaches
by: Farias, Victor A. E., et al.
Published: (2024)

Improving Parameter-Efficient Federated Learning with Differentially Private Refactorization
by: Tran, Linh, et al.
Published: (2026)

Differentially Private Matchings
by: Dinitz, Michael, et al.
Published: (2025)

Differentially Private Verification of Survey-Weighted Estimates
by: Lin, Tong, et al.
Published: (2024)

Differentially Private Data Generation with Missing Data
by: Mohapatra, Shubhankar, et al.
Published: (2023)

Evaluating Differentially Private Generation of Domain-Specific Text
by: Sun, Yidan, et al.
Published: (2025)