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Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #85
Adversarial Examples Are Not Bugs, They Are Features
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #86
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #87
Capacity Bounded Differential Privacy
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #88
Differentially Private Anonymized Histograms
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #89
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #90
Differentially Private Bayesian Linear Regression
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #91
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #92
Locally Private Gaussian Estimation
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #93
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #94
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #95
Partially Encrypted Deep Learning using Functional Encryption
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #96
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation