privacy-preserving machine learning

Leveraging Sparsity for Privacy in Collaborative Inference WACV 2026 CipherPrune: Efficient and Scalable Private Transformer Inference ICLR 2025 Controllable Memorization in LLMs via Weight Pruning EMNLP 2025 Encryption-Friendly LLM Architecture ICLR 2025 Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy AAAI 2025 FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning ICCV 2025 FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks ICML 2025 From Teacher to Student: Tracking Memorization Through Model Distillation ACL 2025 ObfusLM: Privacy-preserving Language Model Service against Embedding Inversion Attacks ACL 2025 On Probabilistic Truncation in Privacy-preserving Machine Learning AAAI 2025 PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark JMLR 2025 QueryShield: A Platform to Mitigate Enterprise Data Leakage in Queries to External LLMs NAACL 2025 Understanding the Impact of Client Heterogeneity on Ordinal Classification in Federated Medical Image Analysis MIDL 2025 ID^3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition NeurIPS 2024 A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy AAAI 2024 Attack-Aware Noise Calibration for Differential Privacy NeurIPS 2024 Certified Machine Unlearning via Noisy Stochastic Gradient Descent NeurIPS 2024 Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024 Continual Forgetting for Pre-trained Vision Models CVPR 2024 Correlated Noise Provably Beats Independent Noise for Differentially Private Learning ICLR 2024 Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference ACL 2024 Differentially Private Next-Token Prediction of Large Language Models NAACL 2024 DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering NAACL 2024 DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) AAAI 2024 Federated Learning via Input-Output Collaborative Distillation AAAI 2024