Shahab Asoodeh | DeepAI

DeepAI AI Chat

Featured Co-authors

Hao Wang
366 publications
Jun Chen
98 publications
Yi Huang
43 publications
Flavio P. Calmon
37 publications
Lalitha Sankar
37 publications
Parastoo Sadeghi
35 publications
Oliver Kosut
29 publications
Fady Alajaji
26 publications
Tamás Linder
18 publications
James Evans
17 publications
Huanyu Zhang
16 publications

∙ 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...

0 Shahab Asoodeh, et al. ∙

∙ 05/11/2023

The Cardinality Bound on the Information Bottleneck Representations is Tight

The information bottleneck (IB) method aims to find compressed represent...

0 Etam Benger, et al. ∙

∙ 10/24/2022

Contraction of Locally Differentially Private Mechanisms

We investigate the contraction properties of locally differentially priv...

0 Shahab Asoodeh, et al. ∙

∙ 08/20/2022

The Saddle-Point Accountant for Differential Privacy

We introduce a new differential privacy (DP) accountant called the saddl...

0 Wael Alghamdi, et al. ∙

∙ 06/25/2022

Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime

Most differential privacy mechanisms are applied (i.e., composed) numero...

0 Wael Alghamdi, et al. ∙

∙ 06/15/2022

Beyond Adult and COMPAS: Fairness in Multi-Class Prediction

We consider the problem of producing fair probabilistic classifiers for ...

9 Wael Alghamdi, et al. ∙

∙ 02/02/2021

Local Differential Privacy Is Equivalent to Contraction of E_γ-Divergence

We investigate the local differential privacy (LDP) guarantees of a rand...

0 Shahab Asoodeh, et al. ∙

∙ 12/20/2020

Privacy Analysis of Online Learning Algorithms via Contraction Coefficients

We propose an information-theoretic technique for analyzing privacy guar...

0 Shahab Asoodeh, et al. ∙

∙ 11/12/2020

Bottleneck Problems: Information and Estimation-Theoretic View

Information bottleneck (IB) and privacy funnel (PF) are two closely rela...

0 Shahab Asoodeh, et al. ∙

∙ 08/14/2020

Three Variants of Differential Privacy: Lossless Conversion and Applications

We consider three different variants of differential privacy (DP), namel...

0 Shahab Asoodeh, et al. ∙

∙ 07/18/2020

Differentially Private Mechanisms for Count Queries

In this paper, we consider the problem of responding to a count query (o...

0 Parastoo Sadeghi, et al. ∙

∙ 01/17/2020

Privacy Amplification of Iterative Algorithms via Contraction Coefficients

We investigate the framework of privacy amplification by iteration, rece...

0 Shahab Asoodeh, et al. ∙

∙ 01/16/2020

A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences

We derive the optimal differential privacy (DP) parameters of a mechanis...

0 Shahab Asoodeh, et al. ∙

∙ 10/17/2019

Obfuscation via Information Density Estimation

Identifying features that leak information about sensitive attributes is...

0 Hsiang Hsu, et al. ∙

∙ 09/06/2018

Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds

Inspired by recent interests of developing machine learning and data min...

0 Tingran Gao, et al. ∙

∙ 04/09/2018

A Tamper-Free Semi-Universal Communication System for Deletion Channels

We investigate the problem of reliable communication between two legitim...

0 Shahab Asoodeh, et al. ∙

∙ 03/22/2018

Curvature of Hypergraphs via Multi-Marginal Optimal Transport

We introduce a novel definition of curvature for hypergraphs, a natural ...

0 Shahab Asoodeh, et al. ∙

∙ 02/16/2018

Generalizing Bottleneck Problems

Given a pair of random variables (X,Y)∼ P_XY and two convex functions f_...

0 Hsiang Hsu, et al. ∙

∙ 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...

0 Mario Diaz, et al. ∙

∙ 11/07/2015

Information Extraction Under Privacy Constraints

A privacy-constrained information extraction problem is considered where...

0 Shahab Asoodeh, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world