Shahab Asoodeh

79 papers A* 6A 2B 18Journal 41Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimality of Staircase Mechanisms for Vector Queries under Differential Privacy. CoRR James Melbourne, Mario Díaz, Shahab Asoodeh
2025	J	`jnl`	Locally Optimal Private Sampling: Beyond the Global Minimax. CoRR Hrad Ghoukasian, Bonwoo Lee, Shahab Asoodeh
2025	A	`conf`	Locally Private Sampling with Public Data. AISTATS Behnoosh Zamanlooy, Mario Díaz, Shahab Asoodeh
2025	J	`jnl`	Optimal Additive Noise Mechanisms for Differential Privacy. CoRR Atefeh Gilani, Juan Felipe Gómez, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2025	J	`jnl`	Optimal Fairness under Local Differential Privacy. CoRR Hrad Ghoukasian, Shahab Asoodeh
2025	A*	`conf`	Optimizing Noise Distributions for Differential Privacy. ICML Atefeh Gilani, Juan Felipe Gómez, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2024	B	`conf`	$\mathrm{E}_{\gamma}$-Mixing Time. ISIT Behnoosh Zamanlooy, Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
2024	J	`jnl`	Contraction of Locally Differentially Private Mechanisms. IEEE J. Sel. Areas Inf. Theory Shahab Asoodeh, Huanyu Zhang
2024	B	`conf`	Differential-Privacy Capacity. ISIT Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2024	B	`conf`	Differentially Private Fair Binary Classifications. ISIT Hrad Ghoukasian, Shahab Asoodeh
2024	J	`jnl`	Differentially Private Fair Binary Classifications. CoRR Hrad Ghoukasian, Shahab Asoodeh
2024	A*	`conf`	Exactly Minimax-Optimal Locally Differentially Private Sampling. NeurIPS Hyun-Young Park, Shahab Asoodeh, Si-Hyeon Lee
2024	J	`jnl`	Exactly Minimax-Optimal Locally Differentially Private Sampling. CoRR Hyun-Young Park, Shahab Asoodeh, Si-Hyeon Lee
2024	J	`jnl`	Locally Private Sampling with Public Data. CoRR Behnoosh Zamanlooy, Mario Díaz, Shahab Asoodeh
2024	B	`conf`	On the Privacy Guarantees of Differentially Private Stochastic Gradient Descent. ISIT Shahab Asoodeh, Mario Díaz
2024	A*	`conf`	Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity. COLT Alireza Fathollah Pour, Hassan Ashtiani, Shahab Asoodeh
2023	B	`conf`	Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. ISIT Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar
2023	J	`jnl`	Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses. CoRR Shahab Asoodeh, Mario Díaz
2023	J	`jnl`	Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity. CoRR Alireza Fathollah Pour, Hassan Ashtiani, Shahab Asoodeh
2023	B	`conf`	Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. ISIT Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar
2023	B	`conf`	Strong Data Processing Inequalities for Locally Differentially Private Mechanisms. ISIT Behnoosh Zamanlooy, Shahab Asoodeh
2023	B	`conf`	The Cardinality Bound on the Information Bottleneck Representations is Tight. ISIT Etam Benger, Shahab Asoodeh, Jun Chen
2023	J	`jnl`	The Cardinality Bound on the Information Bottleneck Representations is Tight. CoRR Etam Benger, Shahab Asoodeh, Jun Chen
2023	A*	`conf`	The Saddle-Point Method in Differential Privacy. ICML Wael Alghamdi, Juan Felipe Gómez, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2022	A*	`conf`	Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection. NeurIPS Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalák, Shahab Asoodeh, Flávio P. Calmon
2022	J	`jnl`	Beyond Adult and COMPAS: Fairness in Multi-Class Prediction. CoRR Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, P. Winston Michalak, Shahab Asoodeh, Flávio P. Calmon
2022	B	`conf`	Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. ISIT Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei
2022	J	`jnl`	Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. CoRR Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei
2022	J	`jnl`	Contraction of Locally Differentially Private Mechanisms. CoRR Shahab Asoodeh, Huanyu Zhang
2022	—	`conf`	Distribution Simulation Under Local Differential Privacy. CWIT Shahab Asoodeh
2022	J	`jnl`	The Saddle-Point Accountant for Differential Privacy. CoRR Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar, Fei Wei
2021	B	`conf`	Differentially Private Federated Learning: An Information-Theoretic Perspective. ISIT Shahab Asoodeh, Wei-Ning Chen, Flávio P. Calmon, Ayfer Özgür
2021	—	`conf`	Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. PAKDD (1) Naganand Yadati, Tingran Gao, Shahab Asoodeh, Partha P. Talukdar, Anand Louis
2021	J	`jnl`	Local Differential Privacy Is Equivalent to Contraction of E CoRR Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon
2021	B	`conf`	Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence. ISIT Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon
2021	J	`jnl`	Three Variants of Differential Privacy: Lossless Conversion and Applications. IEEE J. Sel. Areas Inf. Theory Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2020	J	`jnl`	A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via $f$-Divergences. CoRR Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2020	B	`conf`	A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences. ISIT Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2020	J	`jnl`	Bottleneck Problems: An Information and Estimation-Theoretic View. Entropy Shahab Asoodeh, Flávio P. Calmon
2020	J	`jnl`	Bottleneck Problems: Information and Estimation-Theoretic View. CoRR Shahab Asoodeh, Flávio P. Calmon
2020	J	`jnl`	Differentially Private Mechanisms for Count Queries. CoRR Parastoo Sadeghi, Shahab Asoodeh, Flávio du Pin Calmon
2020	B	`conf`	Model Projection: Theory and Applications to Fair Machine Learning. ISIT Wael Alghamdi, Shahab Asoodeh, Hao Wang, Flávio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy
2020	A	`conf`	Obfuscation via Information Density Estimation. AISTATS Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon
2020	B	`conf`	Privacy Amplification of Iterative Algorithms via Contraction Coefficients. ISIT Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
2020	J	`jnl`	Privacy Amplification of Iterative Algorithms via Contraction Coefficients. CoRR Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
2020	J	`jnl`	Privacy Analysis of Online Learning Algorithms via Contraction Coefficients. CoRR Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
2020	J	`jnl`	Three Variants of Differential Privacy: Lossless Conversion and Applications. CoRR Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2019	J	`jnl`	Estimation Efficiency Under Privacy Constraints. IEEE Trans. Inf. Theory Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
2019	B	`conf`	Information-Theoretic Privacy Watchdogs. ISIT Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon
2019	J	`jnl`	Obfuscation via Information Density Estimation. CoRR Hsiang Hsu, Shahab Asoodeh, Flávio du Pin Calmon
2019	A*	`conf`	Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. AAAI Tingran Gao, Shahab Asoodeh, Yi Huang, James A. Evans
2018	—	`conf`	A Tamper-Free Semi-Universal Communication System for Deletion Channels. CDC Shahab Asoodeh, Yi Huang, Ishanu Chattopadhyay
2018	J	`jnl`	A Tamper-Free Semi-Universal Communication System for Deletion Channels. CoRR Shahab Asoodeh, Yi Huang, Ishanu Chattopadhyay
2018	—	`conf`	Curvature of Hypergraphs via Multi-Marginal Optimal Transport. CDC Shahab Asoodeh, Tingran Gao, James A. Evans
2018	J	`jnl`	Curvature of Hypergraphs via Multi-Marginal Optimal Transport. CoRR Shahab Asoodeh, Tingran Gao, James Evans
2018	B	`conf`	Generalizing Bottleneck Problems. ISIT Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio P. Calmon
2018	J	`jnl`	Generalizing Bottleneck Problems. CoRR Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flávio P. Calmon
2018	J	`jnl`	On the Noise-Information Separation of a Private Principal Component Analysis Scheme. CoRR Mario Díaz, Shahab Asoodeh, Fady Alajaji, Tamás Linder, Serban Teodor Belinschi, James A. Mingo
2018	J	`jnl`	Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. CoRR Tingran Gao, Shahab Asoodeh, Yi Huang, James Evans
2017	J	`jnl`	Estimation Efficiency Under Privacy Constraints. CoRR Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
2017	J	`jnl`	Privacy-Aware Guessing Efficiency. CoRR Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
2017	B	`conf`	Privacy-aware guessing efficiency. ISIT Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
2016	—	`conf`	Almost Perfect Privacy for Additive Gaussian Privacy Filters. ICITS Shahab Asoodeh, Fady Alajaji, Tamás Linder
2016	J	`jnl`	Almost Perfect Privacy for Additive Gaussian Privacy Filters. CoRR Shahab Asoodeh, Fady Alajaji, Tamás Linder
2016	J	`jnl`	Information Extraction Under Privacy Constraints. Inf. Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
2016	J	`jnl`	Privacy-Aware MMSE Estimation. CoRR Shahab Asoodeh, Fady Alajaji, Tamás Linder
2016	B	`conf`	Privacy-aware MMSE estimation. ISIT Shahab Asoodeh, Fady Alajaji, Tamás Linder
2015	J	`jnl`	Information Extraction Under Privacy Constraints. CoRR Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
2015	J	`jnl`	Lossless Secure Source Coding: Yamamoto's Setting. CoRR Shahab Asoodeh, Fady Alajaji, Tamás Linder
2015	—	`conf`	Lossless secure source coding: Yamamoto's setting. Allerton Shahab Asoodeh, Fady Alajaji, Tamás Linder
2015	J	`jnl`	Notes on Information-Theoretic Privacy. CoRR Shahab Asoodeh, Fady Alajaji, Tamás Linder
2015	J	`jnl`	On Maximal Correlation, Mutual Information and Data Privacy. CoRR Shahab Asoodeh, Fady Alajaji, Tamás Linder
2015	—	`conf`	On maximal correlation, mutual information and data privacy. CWIT Shahab Asoodeh, Fady Alajaji, Tamás Linder
2014	—	`conf`	Notes on information-theoretic privacy. Allerton Shahab Asoodeh, Fady Alajaji, Tamás Linder
2013	—	`conf`	An achievability proof for the lossy coding of Markov sources with feed-forward. CWIT Shahab Asoodeh, Fady Alajaji, Tamás Linder
2010	J	`jnl`	It takes half the energy of a photon to send one bit reliably on the Poisson channel with feedback CoRR Shahab Asoodeh, Amos Lapidoth, Ligong Wang
2010	—	`conf`	New stopping criterion for turbo code in the presence of SNR mismatch. ICUMT Shahab Asoodeh
2007	—	`conf`	A novel algorithm for CFO estimation in OFDM-based systems. Communications, Internet, and Information Technology Shahab Asoodeh, Alireza Rezazade
2007	—	`conf`	On power control in cellular communication using ANFIS. Communications, Internet, and Information Technology Shahab Asoodeh, Alireza Rezazade