Differential Privacy Papers
dppapers.bsky.social
Differential Privacy Papers
@dppapers.bsky.social
🤖
new arXiv preprints mentioning "differential privacy" or "differentially private" in the title/abstract
- unrelated quantum/FL papers
+ updates from https://differentialprivacy.org

[Under construction.]
A Privacy-Preserving Cloud Architecture for Distributed Machine Learning at Scale

Vinoth Punniyamoorthy, Ashok Gadi Parthi, Mayilsamy Palanigounder, Ravi Kiran Kodali, Bikesh Kumar, Kabilan Kannan

http://arxiv.org/abs/2512.10341
December 12, 2025 at 4:53 AM
Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems

N Mangala, Murtaza Rangwala, S Aishwarya, B Eswara Reddy, Rajkumar Buyya, KR Venugopal, SS Iyengar, LM Patnaik

http://arxiv.org/abs/2512.10426
December 12, 2025 at 4:53 AM
Perturbation-based Inference for Extreme Value Index

Yiwei Tang, Judy Huixia Wang, Deyuan Li

http://arxiv.org/abs/2512.08258
December 10, 2025 at 4:54 AM
Geometry-Aligned Differential Privacy for Location-Safe Federated Radio Map Construction

Jijia Tian, Wangqian Chen, Junting Chen, Pooi-Yuen Kam

http://arxiv.org/abs/2512.08263
December 10, 2025 at 4:54 AM
Fully Decentralized Certified Unlearning

Hithem Lamri, Michail Maniatakos

http://arxiv.org/abs/2512.08443
December 10, 2025 at 4:53 AM
PrivTune: Efficient and Privacy-Preserving Fine-Tuning of Large Language Models via Device-Cloud Collaboration

Yi Liu, Weixiang Han, Chengjun Cai, Xingliang Yuan, Cong Wang

http://arxiv.org/abs/2512.08809
December 10, 2025 at 4:53 AM
Differentially Private Synthetic Data Generation Using Context-Aware GANs

Anantaa Kotal, Anupam Joshi

http://arxiv.org/abs/2512.08869
December 10, 2025 at 4:53 AM
When Privacy Isn't Synthetic: Hidden Data Leakage in Generative AI Models

S. M. Mustaqim, Anantaa Kotal, Paul H. Yi

http://arxiv.org/abs/2512.06062
December 9, 2025 at 4:55 AM
Privacy Loss of Noise Perturbation via Concentration Analysis of A Product Measure

Shuainan Liu, Tianxi Ji, Zhongshuo Fang, Lu Wei, Pan Li

http://arxiv.org/abs/2512.06253
December 9, 2025 at 4:54 AM
"Having Confidence in My Confidence Intervals": How Data Users Engage with Privacy-Protected Wikipedia Data

Harold Triedman, Jayshree Sarathy, Priyanka Nanayakkara, Rachel Cummings, Gabriel Kaptchuk, Sean Kross, Elissa M. Redmiles

http://arxiv.org/abs/2512.06534
December 9, 2025 at 4:54 AM
Parameter-Efficient Fine-Tuning with Differential Privacy for Robust Instruction Adaptation in Large Language Models

Yulin Huang, Yaxuan Luan, Jinxu Guo, Xiangchen Song, Yuchen Liu

http://arxiv.org/abs/2512.06711
December 9, 2025 at 4:54 AM
PrivLLMSwarm: Privacy-Preserving LLM-Driven UAV Swarms for Secure IoT Surveillance

Jifar Wakuma Ayana, Huang Qiming

http://arxiv.org/abs/2512.06747
December 9, 2025 at 4:53 AM
Prediction with Expert Advice under Local Differential Privacy

Ben Jacobsen, Kassem Fawaz

http://arxiv.org/abs/2512.06971
December 9, 2025 at 4:53 AM
PrivORL: Differentially Private Synthetic Dataset for Offline Reinforcement Learning

Chen Gong, Zheng Liu, Kecen Li, Tianhao Wang

http://arxiv.org/abs/2512.07342
December 9, 2025 at 4:53 AM
PrivCode: When Code Generation Meets Differential Privacy

Zheng Liu, Chen Gong, Terry Yue Zhuo, Kecen Li, Weichen Yu, Matt Fredrikson, Tianhao Wang

http://arxiv.org/abs/2512.05459
December 8, 2025 at 4:53 AM
GOPHER: Optimization-based Phenotype Randomization for Genome-Wide Association Studies with Differential Privacy

Anupama Nandi, Seth Neel, Hyunghoon Cho

http://arxiv.org/abs/2512.04225
December 5, 2025 at 4:53 AM
How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy

Natalia Ponomareva, Zheng Xu, H. Brendan McMahan, Peter Kairouz, Lucas Rosenblatt, Vincent Cohen-Addad, Cristóbal Guzmán, Ryan McKenna, Galen Andrew, Alex Bie, Da Yu, ...
http://arxiv.org/abs/2512.03238
December 4, 2025 at 4:53 AM
Efficient Public Verification of Private ML via Regularization

Zoë Ruha Bell, Anvith Thudi, Olive Franzese-McLaughlin, Nicolas Papernot, Shafi Goldwasser

http://arxiv.org/abs/2512.04008
December 4, 2025 at 4:53 AM
Adversarial Signed Graph Learning with Differential Privacy

Haobin Ke, Sen Zhang, Qingqing Ye, Xun Ran, Haibo Hu

http://arxiv.org/abs/2512.00307
December 2, 2025 at 4:55 AM
Hierarchical Decentralized Multi-Agent Coordination with Privacy-Preserving Knowledge Sharing: Extending AgentNet for Scalable Autonomous Systems

Goutham Nalagatla

http://arxiv.org/abs/2512.00614
December 2, 2025 at 4:54 AM
Privacy Preserving Diffusion Models for Mixed-Type Tabular Data Generation

Timur Sattarov, Marco Schreyer, Damian Borth

http://arxiv.org/abs/2512.00638
December 2, 2025 at 4:54 AM
Infinitely divisible privacy and beyond I: resolution of the $s^2=2k$ conjecture

Aaradhya Pandey, Arian Maleki, Sanjeev Kulkarni

http://arxiv.org/abs/2512.00734
December 2, 2025 at 4:54 AM
Topological Federated Clustering via Gravitational Potential Fields under Local Differential Privacy

Yunbo Long, Jiaquan Zhang, Xi Chen, Alexandra Brintrup

http://arxiv.org/abs/2512.00849
December 2, 2025 at 4:54 AM
Differentially Private and Federated Structure Learning in Bayesian Networks

Ghita Fassy El Fehri, Aurélien Bellet, Philippe Bastien

http://arxiv.org/abs/2512.01708
December 2, 2025 at 4:53 AM
SA-ADP: Sensitivity-Aware Adaptive Differential Privacy for Large Language Models

Stella Etuk, Ashraf Matrawy

http://arxiv.org/abs/2512.01748
December 2, 2025 at 4:53 AM