Privacy
3,022 papers
Papers per year
1
2
1
3
7
10
7
18
23
40
67
136
179
302
367
511
562
603
183
'15
'20
'25
Papers
Efficient, Noise-Tolerant, and Private Learning via Boosting
COLT 2020
Efficient Private Algorithms for Learning Large-Margin Halfspaces
ALT 2020
Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy
JMLR 2020
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition
CVPR 2020
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
CVPR 2020
Evade Deep Image Retrieval by Stashing Private Images in the Hash Space
CVPR 2020
Exploring Abstract Concepts for Image Privacy Prediction in Social Networks (Student Abstract)
AAAI 2020
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions
CVPR 2020
Falcon: Fast Spectral Inference on Encrypted Data
NeurIPS 2020
Fast and Private Submodular and k-Submodular Functions Maximization with Matroid Constraints
ICML 2020
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC
NeurIPS 2020
Federated Heavy Hitters Discovery with Differential Privacy
AISTATS 2020
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework
AAAI 2020
Federated Patient Hashing
AAAI 2020
Federated Principal Component Analysis
NeurIPS 2020
Generative Models for Effective ML on Private, Decentralized Datasets
ICLR 2020
Ghostor: Toward a Secure Data-Sharing System from Decentralized Trust
NSDI 2020
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data
NeurIPS 2020
Gradient Perturbation is Underrated for Differentially Private Convex Optimization
IJCAI 2020
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
NeurIPS 2020
Hidden Trigger Backdoor Attacks
AAAI 2020
Hide and Speak: Towards Deep Neural Networks for Speech Steganography
Interspeech 2020
How Private Are Commonly-Used Voting Rules?
UAI 2020
How To Backdoor Federated Learning
AISTATS 2020
Hypothesis Testing Interpretations and Renyi Differential Privacy
AISTATS 2020