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Privacy
363 directly classified papers
Papers per year
2008: 1
2011: 2
2012: 4
2013: 3
2014: 3
2015: 3
2016: 2
2017: 6
2018: 12
2019: 22
2020: 23
2021: 47
2022: 64
2023: 47
2024: 84
2025: 40
Papers
Differentially Private Model Compression
NIPS 2022
Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness
NIPS 2022
A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem
NIPS 2022
Differentially Private Learning with Margin Guarantees
NIPS 2022
When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits
NIPS 2022
Differentially Private Online-to-batch for Smooth Losses
NIPS 2022
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
NIPS 2022
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy
NIPS 2022
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
NIPS 2022
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning
NIPS 2022
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms
NIPS 2021
A Central Limit Theorem for Differentially Private Query Answering
NIPS 2021
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
NIPS 2021
Adaptive Machine Unlearning
NIPS 2021
Privately Publishable Per-instance Privacy
NIPS 2021
Differentially Private Learning with Adaptive Clipping
NIPS 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning
NIPS 2021
Adapting to function difficulty and growth conditions in private optimization
NIPS 2021
Fast and Memory Efficient Differentially Private-SGD via JL Projections
NIPS 2021
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
NIPS 2021
User-Level Differentially Private Learning via Correlated Sampling
NIPS 2021
Private learning implies quantum stability
NIPS 2021
Auditing Black-Box Prediction Models for Data Minimization Compliance
NIPS 2021
Multiclass versus Binary Differentially Private PAC Learning
NIPS 2021
Instance-optimal Mean Estimation Under Differential Privacy
NIPS 2021
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