Only Pay What You Must Spend: On-Demand Privacy Budget Payment for Differentially Private RAG
Empirical Analysis of Randomness Quality in Differential Privacy Mechanisms
Towards TEE-Certified DP: Verifiable Differentially Private Training on Legacy GPUs
Low-Rank Masking for Single-Server Matrix Multiplication
Privacy-Aligned Personalized Federated Learning with Compact Adaptation and Variable-Length Gaussian Communication
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Privacy-enhanced federated learning via asynchronous aggregation and local differential perturbation
SpliTEE: Improving LLM Inference on Trusted Hardware with Differentially Private GPU Outsourcing
Shuffling is Not Enough: Breaking Permutation-Based Model Confidentiality in Hybrid FHE Inference
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Differential Privacy Meets Fixed Parameter Tractability: Algorithms and Lower Bounds
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I Am No One: Style-Aware Paraphrasing for Text Anonymization
Differentially Private EEG Feature Anonymization: A Privacy-Utility Case Study in Clinical Neurophysiology
Algorithmic stability via ensembling
Distributed and Private Textual Data Synthesis from Embeddings
Subgroup Membership Inference Audits of Differentially Private Synthetic Text
RegionFed: Federated Learning for Personalized Query Understanding in Heterogeneous Retail Environments
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Machine Unlearning as Private Retroactive Algorithms
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Privacy Failure in Split-LLM Training, The Returned Gradient Nullifies the Decoys
