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privacy-preserving machine learning

99 papers

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Also known as

PPML

Co-occurring keywords

differential privacy (1010) federated learning (1320) large language model (12755) homomorphic encryption (55) data privacy (106) model compression (3283) privacy preservation (376) logistic regression (382) distributed learning (563) model inversion attack (33)

Papers

Leveraging Sparsity for Privacy in Collaborative Inference WACV 2026
Controllable Memorization in LLMs via Weight Pruning EMNLP 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy AAAI 2025
From Teacher to Student: Tracking Memorization Through Model Distillation ACL 2025
On Probabilistic Truncation in Privacy-preserving Machine Learning AAAI 2025
ObfusLM: Privacy-preserving Language Model Service against Embedding Inversion Attacks ACL 2025
QueryShield: A Platform to Mitigate Enterprise Data Leakage in Queries to External LLMs NAACL 2025
PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark JMLR 2025
FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning ICCV 2025
Certified Machine Unlearning via Noisy Stochastic Gradient Descent NIPS 2024
Ungeneralizable Examples CVPR 2024
Continual Forgetting for Pre-trained Vision Models CVPR 2024
Differentially Private Next-Token Prediction of Large Language Models NAACL 2024
Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024
$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition NIPS 2024
On the Ability of Developers' Training Data Preservation of Learnware NIPS 2024
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy AAAI 2024
Generation and Evaluation of Synthetic Endoscopy Free-Text Reports with Differential Privacy ACL 2024
Private prediction for large-scale synthetic text generation EMNLP 2024
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks AAAI 2024
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data AAAI 2024
DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) AAAI 2024
Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference ACL 2024
Revisiting Differentially Private ReLU Regression NIPS 2024
Online Sensitivity Optimization in Differentially Private Learning AAAI 2024