On power control in cellular communication using ANFIS. - Shahab Asoodeh; Alireza Rezazade (Communications, Internet, and Information Technology, 2007)

A novel algorithm for CFO estimation in OFDM-based systems. - Shahab Asoodeh; Alireza Rezazade (Communications, Internet, and Information Technology, 2007)

New stopping criterion for turbo code in the presence of SNR mismatch. - Shahab Asoodeh (ICUMT, 2010)

It takes half the energy of a photon to send one bit reliably on the Poisson channel with feedback - Shahab Asoodeh; Amos Lapidoth; Ligong Wang 002 (CoRR, 2010)

An achievability proof for the lossy coding of Markov sources with feed-forward. - Shahab Asoodeh; Fady Alajaji; Tamás Linder (CWIT, 2013)

Notes on information-theoretic privacy. - Shahab Asoodeh; Fady Alajaji; Tamás Linder (Allerton, 2014)

Lossless secure source coding: Yamamoto's setting. - Shahab Asoodeh; Fady Alajaji; Tamás Linder (Allerton, 2015)

On maximal correlation, mutual information and data privacy. - Shahab Asoodeh; Fady Alajaji; Tamás Linder (CWIT, 2015)

Almost Perfect Privacy for Additive Gaussian Privacy Filters. - Shahab Asoodeh; Fady Alajaji; Tamás Linder (ICITS, 2016)

Privacy-aware MMSE estimation. - Shahab Asoodeh; Fady Alajaji; Tamás Linder (ISIT, 2016)

Information Extraction Under Privacy Constraints. - Shahab Asoodeh; Mario Díaz; Fady Alajaji; Tamás Linder (Inf., 2016)

Privacy-aware guessing efficiency. - Shahab Asoodeh; Mario Díaz; Fady Alajaji; Tamás Linder (ISIT, 2017)

Curvature of Hypergraphs via Multi-Marginal Optimal Transport. - Shahab Asoodeh; Tingran Gao; James Evans (CDC, 2018)

A Tamper-Free Semi-Universal Communication System for Deletion Channels. - Shahab Asoodeh; Yi Huang; Ishanu Chattopadhyay (CDC, 2018)

Generalizing Bottleneck Problems. - Hsiang Hsu; Shahab Asoodeh; Salman Salamatian; Flávio P. Calmon (ISIT, 2018)

On the Noise-Information Separation of a Private Principal Component Analysis Scheme. - Mario Díaz; Shahab Asoodeh; Fady Alajaji; Tamás Linder; Serban Teodor Belinschi; James A. Mingo (CoRR, 2018)

Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. - Tingran Gao; Shahab Asoodeh; Yi Huang; James Evans (AAAI, 2019)

Information-Theoretic Privacy Watchdogs. - Hsiang Hsu; Shahab Asoodeh; Flávio P. Calmon (ISIT, 2019)

Estimation Efficiency Under Privacy Constraints. - Shahab Asoodeh; Mario Díaz; Fady Alajaji; Tamás Linder (IEEE Trans. Inf. Theory, 2019)

Obfuscation via Information Density Estimation. - Hsiang Hsu; Shahab Asoodeh; Flávio P. Calmon (AISTATS, 2020)

Model Projection: Theory and Applications to Fair Machine Learning. - Wael Alghamdi; Shahab Asoodeh; Hao Wang 063; Flávio P. Calmon; Dennis Wei; Karthikeyan Natesan Ramamurthy (ISIT, 2020)

Privacy Amplification of Iterative Algorithms via Contraction Coefficients. - Shahab Asoodeh; Mario Díaz; Flávio P. Calmon (ISIT, 2020)

A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences. - Shahab Asoodeh; Jiachun Liao; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (ISIT, 2020)

Differentially Private Mechanisms for Count Queries. - Parastoo Sadeghi; Shahab Asoodeh; Flávio du Pin Calmon (CoRR, 2020)

Bottleneck Problems: Information and Estimation-Theoretic View. - Shahab Asoodeh; Flávio P. Calmon (CoRR, 2020)

Privacy Analysis of Online Learning Algorithms via Contraction Coefficients. - Shahab Asoodeh; Mario Díaz; Flávio P. Calmon (CoRR, 2020)

Bottleneck Problems: An Information and Estimation-Theoretic View. - Shahab Asoodeh; Flávio P. Calmon (Entropy, 2020)

Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence. - Shahab Asoodeh; Maryam Aliakbarpour; Flávio P. Calmon (ISIT, 2021)

Differentially Private Federated Learning: An Information-Theoretic Perspective. - Shahab Asoodeh; Wei-Ning Chen; Flávio P. Calmon; Ayfer Özgür (ISIT, 2021)

Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. - Naganand Yadati; Tingran Gao; Shahab Asoodeh; Partha P. Talukdar; Anand Louis (PAKDD (1), 2021)

Local Differential Privacy Is Equivalent to Contraction of Eγ-Divergence. - Shahab Asoodeh; Maryam Aliakbarpour; Flávio P. Calmon (CoRR, 2021)

Three Variants of Differential Privacy: Lossless Conversion and Applications. - Shahab Asoodeh; Jiachun Liao; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (IEEE J. Sel. Areas Inf. Theory, 2021)

Distribution Simulation Under Local Differential Privacy. - Shahab Asoodeh (CWIT, 2022)

Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar; Fei Wei (ISIT, 2022)

Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection. - Wael Alghamdi; Hsiang Hsu; Haewon Jeong; Hao Wang 063; Peter Michalák; Shahab Asoodeh; Flávio P. Calmon (NeurIPS, 2022)

Beyond Adult and COMPAS: Fairness in Multi-Class Prediction. - Wael Alghamdi; Hsiang Hsu; Haewon Jeong; Hao Wang 063; P. Winston Michalak; Shahab Asoodeh; Flávio P. Calmon (CoRR, 2022)

The Saddle-Point Accountant for Differential Privacy. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Juan Felipe Gómez; Oliver Kosut; Lalitha Sankar; Fei Wei (CoRR, 2022)

The Saddle-Point Method in Differential Privacy. - Wael Alghamdi; Juan Felipe Gómez; Shahab Asoodeh; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (ICML, 2023)

Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Juan Felipe Gómez; Oliver Kosut; Lalitha Sankar (ISIT, 2023)

Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Juan Felipe Gómez; Oliver Kosut; Lalitha Sankar (ISIT, 2023)

The Cardinality Bound on the Information Bottleneck Representations is Tight. - Etam Benger; Shahab Asoodeh; Jun Chen 005 (ISIT, 2023)

Strong Data Processing Inequalities for Locally Differentially Private Mechanisms. - Behnoosh Zamanlooy; Shahab Asoodeh (ISIT, 2023)

Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses. - Shahab Asoodeh; Mario Díaz (CoRR, 2023)

Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity. - Alireza Fathollah Pour; Hassan Ashtiani; Shahab Asoodeh (COLT, 2024)

Differential-Privacy Capacity. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (ISIT, 2024)

On the Privacy Guarantees of Differentially Private Stochastic Gradient Descent. - Shahab Asoodeh; Mario Díaz (ISIT, 2024)

Differentially Private Fair Binary Classifications. - Hrad Ghoukasian; Shahab Asoodeh (ISIT, 2024)

$ mathrm{E}_{ gamma}$-Mixing Time. - Behnoosh Zamanlooy; Shahab Asoodeh; Mario Díaz; Flávio P. Calmon (ISIT, 2024)

Exactly Minimax-Optimal Locally Differentially Private Sampling. - Hyun-Young Park; Shahab Asoodeh; Si-Hyeon Lee (NeurIPS, 2024)

Contraction of Locally Differentially Private Mechanisms. - Shahab Asoodeh; Huanyu Zhang (IEEE J. Sel. Areas Inf. Theory, 2024)

Locally Private Sampling with Public Data. - Behnoosh Zamanlooy; Mario Díaz; Shahab Asoodeh (AISTATS, 2025)

Optimal Additive Noise Mechanisms for Differential Privacy. - Atefeh Gilani; Juan Felipe Gómez; Shahab Asoodeh; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (CoRR, 2025)