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08/23/2023
On a Divergence-Based Prior Analysis of Stick-Breaking Processes
The nonparametric view of Bayesian inference has transformed statistics ...
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05/17/2023
Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses
The Noisy-SGD algorithm is widely used for privately training machine le...
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08/29/2021
Lower Bounds for the Minimum Mean-Square Error via Neural Network-based Estimation
The minimum mean-square error (MMSE) achievable by optimal estimation of...
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12/20/2020
Privacy Analysis of Online Learning Algorithms via Contraction Coefficients
We propose an information-theoretic technique for analyzing privacy guar...
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06/22/2020
On the alpha-loss Landscape in the Logistic Model
We analyze the optimization landscape of a recently introduced tunable c...
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02/12/2020
To Split or Not to Split: The Impact of Disparate Treatment in Classification
Disparate treatment occurs when a machine learning model produces differ...
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01/17/2020
Privacy Amplification of Iterative Algorithms via Contraction Coefficients
We investigate the framework of privacy amplification by iteration, rece...
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11/08/2019
Theoretical Guarantees for Model Auditing with Finite Adversaries
Privacy concerns have led to the development of privacy-preserving appro...
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06/05/2019
A Tunable Loss Function for Classification
Recently, a parametrized class of loss functions called α-loss, α∈ [1,∞]...
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02/12/2019
A Tunable Loss Function for Binary Classification
We present α-loss, α∈ [1,∞], a tunable loss function for binary classifi...
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11/14/2018
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms
Consider a data publishing setting for a dataset composed of non-private...
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01/18/2018
On the Contractivity of Privacy Mechanisms
We present a novel way to compare the statistical cost of privacy mechan...
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01/18/2018
The Utility Cost of Robust Privacy Guarantees
Consider a data publishing setting for a data set with public and privat...
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01/10/2018
On the Noise-Information Separation of a Private Principal Component Analysis Scheme
In a survey disclosure model, we consider an additive noise privacy mech...
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11/07/2015