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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

Differentially Private Next-Token Prediction of Large Language Models NAACL 2024
Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4 EMNLP 2024
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data AAAI 2024
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy AAAI 2024
Private prediction for large-scale synthetic text generation EMNLP 2024
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification CVPR 2024
Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference ACL 2024
Certified Machine Unlearning via Noisy Stochastic Gradient Descent NIPS 2024
On the Ability of Developers' Training Data Preservation of Learnware NIPS 2024
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks NIPS 2024
Redactor: A Data-Centric and Individualized Defense against Inference Attacks AAAI 2023
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples CVPR 2023
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis ICML 2023
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference ICML 2023
A Privacy-Friendly Approach to Data Valuation NIPS 2023
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores AAAI 2023
$k$-Means Clustering with Distance-Based Privacy NIPS 2023
Bounding training data reconstruction in DP-SGD NIPS 2023
Offline Reinforcement Learning with Differential Privacy NIPS 2023
A Randomized Approach to Tight Privacy Accounting NIPS 2023
Dropout Is NOT All You Need to Prevent Gradient Leakage AAAI 2023
User-level Private Stochastic Convex Optimization with Optimal Rates ICML 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023
Fast and Differentially Private Fair Clustering IJCAI 2023
A Survey of Federated Evaluation in Federated Learning IJCAI 2023