selected scholarly activity
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conferences
- Differential-Privacy Capacity. IEEE International Symposium on Information Theory - Proceedings. 3053-3058. 2024
- Differentially Private Fair Binary Classifications. IEEE International Symposium on Information Theory - Proceedings. 611-616. 2024
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E
γ -Mixing Time. IEEE International Symposium on Information Theory - Proceedings. 3474-3479. 2024 - On the Privacy Guarantees of Differentially Private Stochastic Gradient Descent. IEEE International Symposium on Information Theory - Proceedings. 380-385. 2024
- Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity. Proceedings of Machine Learning Research. 4240-4275. 2024
- Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. IEEE International Symposium on Information Theory - Proceedings. 2195-2200. 2023
- Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. IEEE International Symposium on Information Theory - Proceedings. 2201-2206. 2023
- Strong Data Processing Inequalities for Locally Differentially Private Mechanisms. IEEE International Symposium on Information Theory - Proceedings. 1794-1799. 2023
- The Cardinality Bound on the Information Bottleneck Representations is Tight. IEEE International Symposium on Information Theory - Proceedings. 1478-1483. 2023
- The Saddle-Point Method in Differential Privacy. Proceedings of Machine Learning Research. 508-528. 2023
- Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. IEEE International Symposium on Information Theory - Proceedings. 1838-1843. 2022
- Distribution Simulation Under Local Differential Privacy. 2022 17th Canadian Workshop on Information Theory (CWIT). 57-61. 2022
- Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection. Advances in Neural Information Processing Systems. 2022
- Differentially Private Federated Learning: An Information-Theoretic Perspective. IEEE International Symposium on Information Theory - Proceedings. 344-349. 2021
- Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence. IEEE International Symposium on Information Theory - Proceedings. 545-550. 2021
- Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. Lecture Notes in Computer Science. 447-458. 2021
- A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences. IEEE International Symposium on Information Theory - Proceedings. 920-925. 2020
- Model Projection: Theory and Applications to Fair Machine Learning. IEEE International Symposium on Information Theory - Proceedings. 2711-2716. 2020
- Privacy Amplification of Iterative Algorithms via Contraction Coefficients. IEEE International Symposium on Information Theory - Proceedings. 896-901. 2020
- Obfuscation via Information Density Estimation. INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 108. 906-916. 2020
- Information-Theoretic Privacy Watchdogs. IEEE International Symposium on Information Theory - Proceedings. 552-556. 2019
- Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds. Proceedings of the AAAI Conference on Artificial Intelligence. 3630-3637. 2019
- A Tamper-Free Semi-Universal Communication System for Deletion Channels. Proceedings of the IEEE Conference on Decision and Control. 4181-4186. 2018
- Curvature of Hypergraphs via Multi-Marginal Optimal Transport. Proceedings of the IEEE Conference on Decision and Control. 1180-1185. 2018
- Generalizing Bottleneck Problems. IEEE International Symposium on Information Theory - Proceedings. 531-535. 2018
- Privacy-aware guessing efficiency. IEEE International Symposium on Information Theory - Proceedings. 754-758. 2017
- Privacy-aware MMSE estimation. IEEE International Symposium on Information Theory - Proceedings. 1989-1993. 2016
- Almost Perfect Privacy for Additive Gaussian Privacy Filters. Lecture Notes in Computer Science. 259-278. 2016
- Lossless secure source coding: Yamamoto's setting. 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton). 1032-1037. 2015
- On maximal correlation, mutual information and data privacy. 2015 IEEE 14th Canadian Workshop on Information Theory (CWIT). 27-31. 2015
- Notes on information-theoretic privacy. 2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton). 1272-1278. 2014
- An achievability proof for the lossy coding of Markov sources with feed-forward. 2013 13th Canadian Workshop on Information Theory. 66-70. 2013
- On the energy of a single-bit communication in the Poisson channel with feedback. 2012 26th Biennial Symposium on Communications (QBSC). 97-100. 2012
- New stopping criterion for turbo code in the presence of SNR mismatch. International Congress on Ultra Modern Telecommunications and Control Systems. 182-186. 2010
- A new constructive approximation in Log-Map turbo decoder. ELECTRONICS AND COMMUNICATIONS. 220-+. 2008
- Facilitating method on LDPC codes. ELECTRONICS AND COMMUNICATIONS. 235-+. 2008
- New approach in LDPC codes. ELECTRONICS AND COMMUNICATIONS. 253-256. 2008
- Performance analysis of antipodal modulated direct sequence ultra-wide bandwidth. ELECTRONICS AND COMMUNICATIONS. 231-+. 2008
- Error analysis in finite difference solution of linear and non-linear cylindrical magnetostatic problems. 2007 International Aegean Conference on Electrical Machines and Power Electronics. 232-235. 2007
- Gaussian Approximation for LDPC Codes. 2007 International Conference on Wireless Communications, Networking and Mobile Computing. 1437-+. 2007
- On PN code Acquisition in Direct Sequence Code Division Multiple Access. 2007 International Conference on Wireless Communications, Networking and Mobile Computing. 1433-+. 2007
- Design of Optimal Period Interleaver in Turbo Codes. 2007 10th Canadian Workshop on Information Theory (CWIT). 37-40. 2007
- A novel algorithm for CFO estimation in OFDM-based systems. PROCEEDINGS OF THE SIXTH IASTED INTERNATIONAL CONFERENCE ON COMMUNICATIONS, INTERNET, AND INFORMATION TECHNOLOGY. 55-60. 2007
- On power control in cellular communication using ANFIS. PROCEEDINGS OF THE SIXTH IASTED INTERNATIONAL CONFERENCE ON COMMUNICATIONS, INTERNET, AND INFORMATION TECHNOLOGY. 49-54. 2007
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journal articles
- Contraction of Locally Differentially Private Mechanisms. IEEE Journal on Selected Areas in Information Theory. 5:385-395. 2024
- Three Variants of Differential Privacy: Lossless Conversion and Applications. IEEE Journal on Selected Areas in Information Theory. 2:208-222. 2021
- Bottleneck Problems: An Information and Estimation-Theoretic View. Entropy. 22:1325-1325. 2020
- Estimation Efficiency Under Privacy Constraints. IEEE Transactions on Information Theory. 65:1512-1534. 2019
- Information Extraction Under Privacy Constraints. Information (Switzerland). 7:15-15. 2016
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preprints
- Locally Private Sampling with Public Data 2024
- Exactly Minimax-Optimal Locally Differentially Private Sampling 2024
- Differentially Private Fair Binary Classifications 2024
- Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity 2023
- Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses 2023
- The Cardinality Bound on the Information Bottleneck Representations is Tight 2023
- Contraction of Locally Differentially Private Mechanisms 2022
- The Saddle-Point Accountant for Differential Privacy 2022
- Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime 2022
- Beyond Adult and COMPAS: Fairness in Multi-Class Prediction 2022
- Local Differential Privacy Is Equivalent to Contraction of $E_\gamma$-Divergence 2021
- Contraction of $E_\gamma$-Divergence and Its Applications to Privacy 2020
- Bottleneck Problems: Information and Estimation-Theoretic View 2020
- Three Variants of Differential Privacy: Lossless Conversion and Applications 2020
- Differentially Private Mechanisms for Count Queries 2020
- Privacy Amplification of Iterative Algorithms via Contraction Coefficients 2020
- A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via $f$-Divergences 2020
- Obfuscation via Information Density Estimation 2019
- Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds 2018
- A Tamper-Free Semi-Universal Communication System for Deletion Channels 2018
- Curvature of Hypergraphs via Multi-Marginal Optimal Transport 2018
- Generalizing Bottleneck Problems 2018
- On the Noise-Information Separation of a Private Principal Component Analysis Scheme 2018
- Estimation Efficiency Under Privacy Constraints 2017
- Privacy-Aware Guessing Efficiency 2017
- Almost Perfect Privacy for Additive Gaussian Privacy Filters 2016
- Privacy-Aware MMSE Estimation 2016
- Information Extraction Under Privacy Constraints 2015
- Notes on Information-Theoretic Privacy 2015
- On Maximal Correlation, Mutual Information and Data Privacy 2015
- Lossless Secure Source Coding: Yamamoto's Setting 2015