Differentially Private Model Merging Qichuan Yin, Manzil Zaheer, Tian Li http://arxiv.org/abs/2604.20985

Spectral Embeddings Leak Graph Topology: Theory, Benchmark, and Adaptive Reconstruction Thinh Nguyen-Cong, Truong-Son Hy, Thang N. Dinh http://arxiv.org/abs/2604.21094

Differentially Private De-identification of Dutch Clinical Notes: A Comparative Evaluation Michele Miranda, Xinlan Yan, Nishant Mishra, Rachel Murphy, Ameen Abu-Hanna, Sébastien Bratières, Iacer Calixto http://arxiv.org/abs/2604.21421

Benchmarking the Utility of Privacy-Preserving Cox Regression Under Data-Driven Clipping Bounds: A Multi-Dataset Simulation Study Keita Fukuyama, Yukiko Mori, Tomohiro Kuroda, Hiroaki Kikuchi http://arxiv.org/abs/2604.21491

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies Chris Schneider, Philipp Schoenegger, Ben Bariach http://arxiv.org/abs/2604.21571

Optimal e-variables under constraints Aytijhya Saha, Aaditya Ramdas http://arxiv.org/abs/2604.21680

Estimating Power-Law Exponent with Edge Differential Privacy Adam Tan, Mohamed Hefny, Keval Vora http://arxiv.org/abs/2604.20274

Differentially Private Clustered Federated Learning with Privacy-Preserving Initialization and Normality-Driven Aggregation Jie Xu, Haaris Mehmood, Rogier Van Dalen, Karthikeyan Saravanan, Mete Ozay http://arxiv.org/abs/2604.20596

Geometric Renyi Differential Privacy: Ricci Curvature Characterized by Heat Diffusion Mechanisms Xiaotian Chang, Yangdi Jiang, Cyrus Mostajeran, Qirui Hu http://arxiv.org/abs/2604.20761

Beyond Indistinguishability: Measuring Extraction Risk in LLM APIs Ruixuan Liu, David Evans, Li Xiong http://arxiv.org/abs/2604.18697

DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs Isaiah Thompson, Tanmay Sen, Ritwik Bhattacharya http://arxiv.org/abs/2604.19118

Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading Jianming Tong, Hanshen Xiao, Krishna Kumar Nair, Hao Kang, Ashish Sirasao, Ziqi Zhang, G. Edward Suh, Tushar Krishna http://arxiv.org/abs/2604.17476

Tight Auditing of Differential Privacy in MST and AIM Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Bogdan Kulynych http://arxiv.org/abs/2604.18352

Evaluating LLM Simulators as Differentially Private Data Generators Nassima M. Bouzid, Dehao Yuan, Nam H. Nguyen, Mayana Pereira http://arxiv.org/abs/2604.15461

Privacy, Prediction, and Allocation Ben Jacobsen, Nitin Kohli http://arxiv.org/abs/2604.15596

DPDSyn: Improving Differentially Private Dataset Synthesis for Model Training by Downstream Task Guidance Mingxuan Jia, Wen Huang, Weixin Zhao, Xingyi Wang, Jian Peng, Zhishuo Zhang http://arxiv.org/abs/2604.15660

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy Erchi Wang, Pengrun Huang, Eli Chien, Om Thakkar, Kamalika Chaudhuri, Yu-Xiang Wang, Ruihan Wu http://arxiv.org/abs/2604.15851

Decoupling Identity from Utility: Privacy-by-Design Frameworks for Financial Ecosystems Ifayoyinsola Ibikunle, Tyler Farnan, Senthil Kumar, Mayana Pereira http://arxiv.org/abs/2604.14495

Differentially Private Conformal Prediction Jiamei Wu, Ce Zhang, Zhipeng Cai, Jingsen Kong, Bei Jiang, Linglong Kong, Lingchen Kong http://arxiv.org/abs/2604.14621

Sequential Change Detection for Multiple Data Streams with Differential Privacy Lixing Zhang, Liyan Xie, Ruizhi Zhang http://arxiv.org/abs/2604.13274

Cross-Domain Query Translation for Network Troubleshooting: A Multi-Agent LLM Framework with Privacy Preservation and Self-Reflection Nguyen Phuc Tran, Brigitte Jaumard, Karthikeyan Premkumar, Salman Memon http://arxiv.org/abs/2604.13353

Refined Differentially Private Linear Regression via Extension of a Free Lunch Result Sasmita Harini S, Anshoo Tandon http://arxiv.org/abs/2604.11820

Modular Verification of Differential Privacy in Probabilistic Higher-Order Separation Logic (Extended Version) Philipp G. Haselwarter, Alejandro Aguirre, Simon Oddershede Gregersen, Kwing Hei Li, Joseph Tassarotti, Lars Birkedal http://arxiv.org/abs/2604.12713

Evaluating Differential Privacy Against Membership Inference in Federated Learning: Insights from the NIST Genomics Red Team Challenge Gustavo de Carvalho Bertoli http://arxiv.org/abs/2604.12737

Evolution of Optimization Methods: Algorithms, Scenarios, and Evaluations Tong Zhang, Jiangning Zhang, Zhucun Xue, Juntao Jiang, Yicheng Xu, Chengming Xu, Teng Hu, Xingyu Xie, Xiaobin Hu, Yabiao Wang, Yong Liu, Shuicheng Yan http://arxiv.org/abs/2604.12968

Mask-Free Privacy Extraction and Rewriting: A Domain-Aware Approach via Prototype Learning Xiaodong Li, Yuhua Wang, Qingchen Yu, Zixuan Qin, Yifan Sun, Qinnan Zhang, Hainan Zhang, Zhiming Zheng http://arxiv.org/abs/2604.10145

Replicable Composition Kiarash Banihashem, MohammadHossein Bateni, Hossein Esfandiari, Samira Goudarzi, MohammadTaghi Hajiaghayi http://arxiv.org/abs/2604.10423

Tradeoffs in Privacy, Welfare, and Fairness for Facility Location Sara Fish, Yannai A. Gonczarowski, Jason Z. Tang, Salil Vadhan http://arxiv.org/abs/2604.10443

Differentially Private Verification of Distribution Properties Elbert Du, Cynthia Dwork, Pranay Tankala, Linjun Zhang http://arxiv.org/abs/2604.10819

Answering Counting Queries with Differential Privacy on a Quantum Computer Arghya Mukherjee, Hassan Jameel Asghar, Gavin K. Brennen http://arxiv.org/abs/2604.10881

Realisation-Level Privacy Filtering Sophie Taylor, Praneeth Vippathalla, Justin Coon http://arxiv.org/abs/2604.08630

Node-Private Community Detection in Stochastic Block Models Olga Klopp, Ilias Zadik http://arxiv.org/abs/2604.09078

Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation Qian Ma, Sarah Rajtmajer http://arxiv.org/abs/2604.07486

Differentially Private Modeling of Disease Transmission within Human Contact Networks Shlomi Hod, Debanuj Nayak, Jason R. Gantenberg, Iden Kalemaj, Thomas A. Trikalinos, Adam Smith http://arxiv.org/abs/2604.07493

Interpreting the Error of Differentially Private Median Queries through Randomization Intervals Thomas Humphries, Tim Li, Shufan Zhang, Karl Knopf, Xi He http://arxiv.org/abs/2604.07581

Inexact Limited Memory Bundle Method Jenni Lampainen, Kaisa Joki, Napsu Karmitsa, Marko M. Mäkelä http://arxiv.org/abs/2604.08067

TADP-RME: A Trust-Adaptive Differential Privacy Framework for Enhancing Reliability of Data-Driven Systems Labani Halder, Payel Sadhukhan, Sarbani Palit http://arxiv.org/abs/2604.08113

Differentially Private Language Generation and Identification in the Limit Anay Mehrotra, Grigoris Velegkas, Xifan Yu, Felix Zhou http://arxiv.org/abs/2604.08504

Optimal Rates for Pure { varepsilon}-Differentially Private Stochastic Convex Optimization with Heavy Tails Andrew Lowy http://arxiv.org/abs/2604.06492

Equivalence Testing Under Privacy Constraints Savita Pareek, Luca Insolia, Roberto Molinari, Stéphane Guerrier http://arxiv.org/abs/2604.06499

Adaptive Differential Privacy for Federated Medical Image Segmentation Across Diverse Modalities Puja Saha, Eranga Ukwatta http://arxiv.org/abs/2604.06518

DDP-SA: Scalable Privacy-Preserving Federated Learning via Distributed Differential Privacy and Secure Aggregation Wenjing Wei, Farid Nait-Abdesselam, Alla Jammine http://arxiv.org/abs/2604.07125

On the Price of Privacy for Language Identification and Generation Xiaoyu Li, Andi Han, Jiaojiao Jiang, Junbin Gao http://arxiv.org/abs/2604.07238

Feature-Aware Anisotropic Local Differential Privacy for Utility-Preserving Graph Representation Learning in Metal Additive Manufacturing MD Shafikul Islam, Mahathir Mohammad Bappy, Saifur Rahman Tushar, Md Arifuzzaman http://arxiv.org/abs/2604.05077

A Gradual Probabilistic Lambda Calculus Wenjia Ye, Matías Toro, Federico Olmedo http://arxiv.org/abs/2604.05246

Mechanism and Communication Co-Design for Differentially Private Energy Sharing Yingshuo Gu, Xi Weng, Yue Chen http://arxiv.org/abs/2604.04125

Stable and Privacy-Preserving Synthetic Educational Data with Empirical Marginals: A Copula-Based Approach Gabriel Diaz Ramos, Lorenzo Luzi, Debshila Basu Mallick, Richard Baraniuk http://arxiv.org/abs/2604.04195

DP-OPD: Differentially Private On-Policy Distillation for Language Models Fatemeh Khadem, Sajad Mousavi, Yi Fang, Yuhong Liu http://arxiv.org/abs/2604.04461

Digital Privacy in IoT: Exploring Challenges, Approaches and Open Issues Shini Girija, Pranav M. Pawar, Raja Muthalagu, Mithun Mukherjee http://arxiv.org/abs/2604.04572

Communication-Efficient Distributed Learning with Differential Privacy Xiaoxing Ren, Yuwen Ma, Nicola Bastianello, Karl H. Johansson, Thomas Parisini, Andreas A. Malikopoulos http://arxiv.org/abs/2604.02558