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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

Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data JMLR 2023
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference NIPS 2023
Private Image Generation With Dual-Purpose Auxiliary Classifier CVPR 2023
Noisy adversarial representation learning for effective and efficient image obfuscation UAI 2023
Cookie Consent Has Disparate Impact on Estimation Accuracy NIPS 2023
Just Fine-tune Twice: Selective Differential Privacy for Large Language Models EMNLP 2022
A Federated Approach to Predicting Emojis in Hindi Tweets EMNLP 2022
Membership Inference via Backdooring IJCAI 2022
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning INTERSPEECH 2022
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations NIPS 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings NIPS 2022
Can we Generalize and Distribute Private Representation Learning? AISTATS 2022
Private Set Generation with Discriminative Information NIPS 2022
Contribution-Aware Federated Learning for Smart Healthcare AAAI 2022
Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation With Manipulable Semantics CVPR 2021
SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing SEMEVAL 2021
Antipodes of Label Differential Privacy: PATE and ALIBI NIPS 2021
CrypTen: Secure Multi-Party Computation Meets Machine Learning NIPS 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix ICML 2021
Privacy-Preserving Collaborative Learning With Automatic Transformation Search CVPR 2021
Federated f-Differential Privacy AISTATS 2021
Goten: GPU-Outsourcing Trusted Execution of Neural Network Training AAAI 2021
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning NIPS 2020
Federated Meta-Learning for Fraudulent Credit Card Detection IJCAI 2020
InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020