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differential privacy

1010 papers

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Also known as

DPDL DP-SGD DP DPSGD MDP LDP

Co-occurring keywords

federated learning (1320) stochastic gradient descent (1088) sample complexity (1158) privacy preservation (376) privacy-preserving learning (115) regret bound (1918) privacy-preserving machine learning (99) large language model (12755) exponential mechanism (30) online learning (1770)

Papers

How Private Is Your RL Policy? An Inverse RL Based Analysis Framework AAAI 2022
Private Rank Aggregation in Central and Local Models AAAI 2022
Locally Private k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error AAAI 2022
Federated Nearest Neighbor Classification with a Colony of Fruit-Flies AAAI 2022
Incorporating Item Frequency for Differentially Private Set Union AAAI 2022
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection AAAI 2022
Adaptive Differential Privacy for Language Model Training ACL 2022
How reparametrization trick broke differentially-private text representation learning ACL 2022
Training Text-to-Text Transformers with Privacy Guarantees ACL 2022
Fair NLP Models with Differentially Private Text Encoders EMNLP 2022
Toward Privacy-preserving Text Embedding Similarity with Homomorphic Encryption EMNLP 2022
Mixed Differential Privacy in Computer Vision CVPR 2022
Differentially Private Learning Needs Hidden State (Or Much Faster Convergence) NIPS 2022
A General Framework for Auditing Differentially Private Machine Learning NIPS 2022
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression NIPS 2022
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams NIPS 2022
On Privacy and Personalization in Cross-Silo Federated Learning NIPS 2022
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation NIPS 2022
Anonymized Histograms in Intermediate Privacy Models NIPS 2022
Private Isotonic Regression NIPS 2022
Composition Theorems for Interactive Differential Privacy NIPS 2022
Near-Optimal Private and Scalable $k$-Clustering NIPS 2022
Momentum Aggregation for Private Non-convex ERM NIPS 2022
Task-level Differentially Private Meta Learning NIPS 2022
Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms NIPS 2022