| 2026 | ISIT | Optimal Fairness under Local Differential Privacy. | Hrad Ghoukasian, Shahab Asoodeh |
| 2026 | ISIT | Optimality of General Staircase Mechanism for Differential Privacy. | James Melbourne, Mario Daz, Shahab Asoodeh |
| 2025 | AISTATS | Locally Private Sampling with Public Data. | Behnoosh Zamanlooy, Mario Daz, Shahab Asoodeh |
| 2025 | ICML | Optimizing Noise Distributions for Differential Privacy. | Atefeh Gilani, Juan Felipe Gmez, Shahab Asoodeh, Flvio P. Calmon, Oliver Kosut, Lalitha Sankar |
| 2024 | COLT | Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity. | Alireza Fathollah Pour, Hassan Ashtiani, Shahab Asoodeh |
| 2024 | ISIT | Differential-Privacy Capacity. | Wael Alghamdi, Shahab Asoodeh, Flvio P. Calmon, Oliver Kosut, Lalitha Sankar |
| 2024 | ISIT | On the Privacy Guarantees of Differentially Private Stochastic Gradient Descent. | Shahab Asoodeh, Mario Daz |
| 2024 | ISIT | Differentially Private Fair Binary Classifications. | Hrad Ghoukasian, Shahab Asoodeh |
| 2024 | ISIT | $\mathrm{E}_{\gamma}$-Mixing Time. | Behnoosh Zamanlooy, Shahab Asoodeh, Mario Daz, Flvio P. Calmon |
| 2023 | ICML | The Saddle-Point Method in Differential Privacy. | Wael Alghamdi, Juan Felipe Gmez, Shahab Asoodeh, Flvio P. Calmon, Oliver Kosut, Lalitha Sankar |
| 2023 | ISIT | Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. | Wael Alghamdi, Shahab Asoodeh, Flvio P. Calmon, Juan Felipe Gmez, Oliver Kosut, Lalitha Sankar |
| 2023 | ISIT | Schrdinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. | Wael Alghamdi, Shahab Asoodeh, Flvio P. Calmon, Juan Felipe Gmez, Oliver Kosut, Lalitha Sankar |
| 2023 | ISIT | The Cardinality Bound on the Information Bottleneck Representations is Tight. | Etam Benger, Shahab Asoodeh, Jun Chen |
| 2023 | ISIT | Strong Data Processing Inequalities for Locally Differentially Private Mechanisms. | Behnoosh Zamanlooy, Shahab Asoodeh |
| 2022 | ISIT | Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. | Wael Alghamdi, Shahab Asoodeh, Flvio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei |
| 2021 | ISIT | Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence. | Shahab Asoodeh, Maryam Aliakbarpour, Flvio P. Calmon |
| 2021 | ISIT | Differentially Private Federated Learning: An Information-Theoretic Perspective. | Shahab Asoodeh, Wei-Ning Chen, Flvio P. Calmon, Ayfer zgr |
| 2021 | PAKDD | Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. | Naganand Yadati, Tingran Gao, Shahab Asoodeh, Partha P. Talukdar, Anand Louis |
| 2020 | AISTATS | Obfuscation via Information Density Estimation. | Hsiang Hsu, Shahab Asoodeh, Flvio P. Calmon |
| 2020 | ISIT | Model Projection: Theory and Applications to Fair Machine Learning. | Wael Alghamdi, Shahab Asoodeh, Hao Wang, Flvio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy |
| 2020 | ISIT | Privacy Amplification of Iterative Algorithms via Contraction Coefficients. | Shahab Asoodeh, Mario Daz, Flvio P. Calmon |
| 2020 | ISIT | A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences. | Shahab Asoodeh, Jiachun Liao, Flvio P. Calmon, Oliver Kosut, Lalitha Sankar |
| 2019 | AAAI | Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. | Tingran Gao, Shahab Asoodeh, Yi Huang, James A. Evans |
| 2019 | ISIT | Information-Theoretic Privacy Watchdogs. | Hsiang Hsu, Shahab Asoodeh, Flvio P. Calmon |
| 2018 | ISIT | Generalizing Bottleneck Problems. | Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flvio P. Calmon |
| 2017 | ISIT | Privacy-aware guessing efficiency. | Shahab Asoodeh, Mario Daz, Fady Alajaji, Tams Linder |
| 2016 | ISIT | Privacy-aware MMSE estimation. | Shahab Asoodeh, Fady Alajaji, Tams Linder |