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Machine Learning
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Privacy
2794 directly classified papers
Papers per year
2006: 1
2007: 2
2008: 1
2011: 2
2012: 7
2013: 10
2014: 7
2015: 18
2016: 23
2017: 40
2018: 65
2019: 133
2020: 167
2021: 289
2022: 342
2023: 484
2024: 502
2025: 522
2026: 179
Papers
Private Learning Implies Online Learning: An Efficient Reduction
NIPS 2019
Oblivious Sampling Algorithms for Private Data Analysis
NIPS 2019
Knowledge Extraction with No Observable Data
NIPS 2019
Privately Learning High-Dimensional Distributions
COLT 2019
Locally Private Bayesian Inference for Count Models
ICML 2019
Lower Bounds for Locally Private Estimation via Communication Complexity
COLT 2019
Privacy-Preserving Siamese Feature Extraction for Gender Recognition versus Speaker Identification
INTERSPEECH 2019
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases
NIPS 2019
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
NIPS 2019
Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data
UAI 2019
REM: From Structural Entropy to Community Structure Deception
NIPS 2019
Limits of Private Learning with Access to Public Data
NIPS 2019
Characterizing the Sample Complexity of Pure Private Learners
JMLR 2019
Online Learning via the Differential Privacy Lens
NIPS 2019
BAS Web Services for Automatic Subtitle Creation and Anonymization
INTERSPEECH 2019
Riverbed: Enforcing User-defined Privacy Constraints in Distributed Web Services
NSDI 2019
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction
IJCAI 2019
Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels
CVPR 2019
Revisiting Controlled Query Evaluation in Description Logics
IJCAI 2019
VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People
CVPR 2019
Test without Trust: Optimal Locally Private Distribution Testing
AISTATS 2019
Differentially Private Iterative Gradient Hard Thresholding for Sparse Learning
IJCAI 2019
Principal Component Analysis in the Local Differential Privacy Model
IJCAI 2019
Deniable Upload and Download via Passive Participation
NSDI 2019
A Privacy Preserving Collusion Secure DCOP Algorithm
IJCAI 2019
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