conftrace_
← Core AI
Artificial Intelligence › Core AI ›

Privacy

520 papers

Papers per year

22
161
'20
'25

Papers

Privacy Preserving Image-Based Localization CVPR 2019
Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery CVPR 2019
Formal Privacy for Functional Data with Gaussian Perturbations ICML 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference ICML 2019
Fast Algorithm for K-Truss Discovery on Public-Private Graphs IJCAI 2019
Query Complexity of Bayesian Private Learning NIPS 2018
Data-dependent PAC-Bayes priors via differential privacy NIPS 2018
SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud ACML 2018
Privacy-preserving Neural Representations of Text EMNLP 2018
Anonymizing k Facial Attributes via Adversarial Perturbations IJCAI 2018
Advances and Challenges in Privacy Preserving Planning IJCAI 2018
Generalization for Adaptively-chosen Estimators via Stable Median COLT 2017
A Group-Based Personalized Model for Image Privacy Classification and Labeling IJCAI 2017
Online and Differentially-Private Tensor Decomposition NIPS 2016
Private Causal Inference AISTATS 2016
An Egocentric Look at Video Photographer Identity CVPR 2016
Ryoan: A Distributed Sandbox for Untrusted Computation on Secret Data OSDI 2016
Privacy Aware Learning NIPS 2012
Differentially Private M-Estimators NIPS 2011
Sample Complexity Bounds for Differentially Private Learning COLT 2011