Shahab Asoodeh

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 54

Top Topics

Differential Privacy

Iterative Algorithms

Privacy Guarantees

Differentially Private

Top Venues

IEEE J. Sel. Areas Inf. Theory

Publications

Alireza Fathollah Pour, Hassan Ashtiani, Shahab Asoodeh
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity. COLT (2024)
Shahab Asoodeh, Huanyu Zhang
Contraction of Locally Differentially Private Mechanisms. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Hrad Ghoukasian, Shahab Asoodeh
Differentially Private Fair Binary Classifications. CoRR (2024)
Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar
Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. ISIT (2023)
Alireza Fathollah Pour, Hassan Ashtiani, Shahab Asoodeh
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity. CoRR (2023)
Wael Alghamdi, Juan Felipe Gómez, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
The Saddle-Point Method in Differential Privacy. ICML (2023)
Shahab Asoodeh, Mario Díaz
Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses. CoRR (2023)
Etam Benger, Shahab Asoodeh, Jun Chen
The Cardinality Bound on the Information Bottleneck Representations is Tight. ISIT (2023)
Behnoosh Zamanlooy, Shahab Asoodeh
Strong Data Processing Inequalities for Locally Differentially Private Mechanisms. ISIT (2023)
Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar
Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. ISIT (2023)
Etam Benger, Shahab Asoodeh, Jun Chen
The Cardinality Bound on the Information Bottleneck Representations is Tight. CoRR (2023)
Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar, Fei Wei
The Saddle-Point Accountant for Differential Privacy. CoRR (2022)
Shahab Asoodeh, Huanyu Zhang
Contraction of Locally Differentially Private Mechanisms. CoRR (2022)
Shahab Asoodeh
Distribution Simulation Under Local Differential Privacy. CWIT (2022)
Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, P. Winston Michalak, Shahab Asoodeh, Flávio P. Calmon
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction. CoRR (2022)
Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalák, Shahab Asoodeh, Flávio P. Calmon
Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection. NeurIPS (2022)
Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. CoRR (2022)
Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. ISIT (2022)
Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon
-Divergence. CoRR (2021)
Shahab Asoodeh, Wei-Ning Chen, Flávio P. Calmon, Ayfer Özgür
Differentially Private Federated Learning: An Information-Theoretic Perspective. ISIT (2021)
Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon
Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence. ISIT (2021)
Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
Three Variants of Differential Privacy: Lossless Conversion and Applications. IEEE J. Sel. Areas Inf. Theory 2 (1) (2021)
Naganand Yadati, Tingran Gao, Shahab Asoodeh, Partha P. Talukdar, Anand Louis
Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. PAKDD (1) (2021)
Parastoo Sadeghi, Shahab Asoodeh, Flávio du Pin Calmon
Differentially Private Mechanisms for Count Queries. CoRR (2020)
Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
Privacy Amplification of Iterative Algorithms via Contraction Coefficients. ISIT (2020)
Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
Privacy Analysis of Online Learning Algorithms via Contraction Coefficients. CoRR (2020)
Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via $f$-Divergences. CoRR (2020)
Hsiang Hsu, Shahab Asoodeh, Flávio du Pin Calmon
Obfuscation via Information Density Estimation. AISTATS (2020)
Shahab Asoodeh, Flávio du Pin Calmon
Bottleneck Problems: Information and Estimation-Theoretic View. CoRR (2020)
Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
Three Variants of Differential Privacy: Lossless Conversion and Applications. CoRR (2020)
Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences. ISIT (2020)
Shahab Asoodeh, Flávio P. Calmon
Bottleneck Problems: An Information and Estimation-Theoretic View. Entropy 22 (11) (2020)
Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
Privacy Amplification of Iterative Algorithms via Contraction Coefficients. CoRR (2020)
Wael Alghamdi, Shahab Asoodeh, Hao Wang, Flávio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy
Model Projection: Theory and Applications to Fair Machine Learning. ISIT (2020)
Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
Estimation Efficiency Under Privacy Constraints. IEEE Trans. Inf. Theory 65 (3) (2019)
Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon
Information-Theoretic Privacy Watchdogs. ISIT (2019)
Hsiang Hsu, Shahab Asoodeh, Flávio du Pin Calmon
Obfuscation via Information Density Estimation. CoRR (2019)
Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. AAAI (2019)
Shahab Asoodeh, Yi Huang, Ishanu Chattopadhyay
A Tamper-Free Semi-Universal Communication System for Deletion Channels. CoRR (2018)
Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio du Pin Calmon
Generalizing Bottleneck Problems. CoRR (2018)
Shahab Asoodeh, Tingran Gao, James Evans
Curvature of Hypergraphs via Multi-Marginal Optimal Transport. CoRR (2018)
Shahab Asoodeh, Tingran Gao, James Evans
Curvature of Hypergraphs via Multi-Marginal Optimal Transport. CDC (2018)
Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio du Pin Calmon
Generalizing Bottleneck Problems. ISIT (2018)
Shahab Asoodeh, Yi Huang, Ishanu Chattopadhyay
A Tamper-Free Semi-Universal Communication System for Deletion Channels. CDC (2018)
Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. CoRR (2018)
Mario Díaz, Shahab Asoodeh, Fady Alajaji, Tamás Linder, Serban Teodor Belinschi, James A. Mingo
On the Noise-Information Separation of a Private Principal Component Analysis Scheme. CoRR (2018)
Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
Privacy-aware guessing efficiency. ISIT (2017)
Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
Estimation Efficiency Under Privacy Constraints. CoRR (2017)
Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
Privacy-Aware Guessing Efficiency. CoRR (2017)
Shahab Asoodeh, Fady Alajaji, Tamás Linder
Almost Perfect Privacy for Additive Gaussian Privacy Filters. CoRR (2016)
Shahab Asoodeh, Fady Alajaji, Tamás Linder
Privacy-Aware MMSE Estimation. CoRR (2016)
Shahab Asoodeh, Fady Alajaji, Tamás Linder
Almost Perfect Privacy for Additive Gaussian Privacy Filters. ICITS (2016)
Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
Information Extraction Under Privacy Constraints. Inf. 7 (1) (2016)
Shahab Asoodeh, Fady Alajaji, Tamás Linder
Privacy-aware MMSE estimation. ISIT (2016)
Shahab Asoodeh, Fady Alajaji, Tamás Linder
Lossless Secure Source Coding: Yamamoto's Setting. CoRR (2015)
Shahab Asoodeh, Fady Alajaji, Tamás Linder
Notes on Information-Theoretic Privacy. CoRR (2015)
Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
Information Extraction Under Privacy Constraints. CoRR (2015)
Shahab Asoodeh, Fady Alajaji, Tamás Linder
Lossless secure source coding: Yamamoto's setting. Allerton (2015)
Shahab Asoodeh, Fady Alajaji, Tamás Linder
On Maximal Correlation, Mutual Information and Data Privacy. CoRR (2015)
Shahab Asoodeh, Fady Alajaji, Tamás Linder
On maximal correlation, mutual information and data privacy. CWIT (2015)
Shahab Asoodeh, Fady Alajaji, Tamás Linder
Notes on information-theoretic privacy. Allerton (2014)
Shahab Asoodeh, Fady Alajaji, Tamás Linder
An achievability proof for the lossy coding of Markov sources with feed-forward. CWIT (2013)
Shahab Asoodeh
New stopping criterion for turbo code in the presence of SNR mismatch. ICUMT (2010)
Shahab Asoodeh, Amos Lapidoth, Ligong Wang
It takes half the energy of a photon to send one bit reliably on the Poisson channel with feedback CoRR (2010)
Shahab Asoodeh, Alireza Rezazade
A novel algorithm for CFO estimation in OFDM-based systems. Communications, Internet, and Information Technology (2007)
Shahab Asoodeh, Alireza Rezazade
On power control in cellular communication using ANFIS. Communications, Internet, and Information Technology (2007)