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Jiachun Liao
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Cited by
Year
A Tunable Measure for Information Leakage
J Liao, O Kosut, L Sankar, FP Calmon
2018 IEEE International Symposium on Information Theory (ISIT), 701-705, 2018
132*2018
Hypothesis testing under maximal leakage privacy constraints
J Liao, L Sankar, FP Calmon, VYF Tan
2017 IEEE International Symposium on Information Theory (ISIT), 779-783, 2017
732017
Hypothesis testing under mutual information privacy constraints in the high privacy regime
J Liao, L Sankar, VYF Tan, F du Pin Calmon
IEEE Transactions on Information Forensics and Security 13 (4), 1058-1071, 2017
582017
A better bound gives a hundred rounds: Enhanced privacy guarantees via f-divergences
S Asoodeh, J Liao, FP Calmon, O Kosut, L Sankar
2020 IEEE International Symposium on Information Theory (ISIT), 920-925, 2020
342020
Generating fair universal representations using adversarial models
P Kairouz, J Liao, C Huang, M Vyas, M Welfert, L Sankar
IEEE Transactions on Information Forensics and Security 17, 1970-1985, 2022
332022
Three variants of differential privacy: Lossless conversion and applications
S Asoodeh, J Liao, FP Calmon, O Kosut, L Sankar
IEEE Journal on Selected Areas in Information Theory 2 (1), 208-222, 2021
332021
Learning generative adversarial representations (GAP) under fairness and censoring constraints
J Liao, C Huang, P Kairouz, L Sankar
arXiv preprint arXiv:1910.00411 1, 2019
222019
Hypothesis testing in the high privacy limit
J Liao, L Sankar, VYF Tan, FP Calmon
2016 54th Annual Allerton Conference on Communication, Control, and …, 2016
222016
Privacy under hard distortion constraints
J Liao, O Kosut, L Sankar, FP Calmon
2018 IEEE Information Theory Workshop (ITW), 1-5, 2018
212018
Robustness of maximal α-leakage to side information
J Liao, L Sankar, O Kosut, FP Calmon
2019 IEEE International Symposium on Information Theory (ISIT), 642-646, 2019
192019
Maximal α-leakage and its properties
J Liao, L Sankar, O Kosut, FP Calmon
2020 IEEE Conference on Communications and Network Security (CNS), 1-6, 2020
82020
A general framework for information leakage
J Liao, O Kosut, L Sankar, FP Calmon
A-General-Framework-for-Information-Leakage-Privacy-Utility-Trade-offs1. pdf, 2017
72017
Neural Network-based Estimation of the MMSE
M Diaz, P Kairouz, J Liao, L Sankar
2021 IEEE International Symposium on Information Theory (ISIT), 1023-1028, 2021
42021
Research on Downlink Synchronization for TETRA Release II
H Liu, D Yao, J Liao
2012 13th International Conference on Parallel and Distributed Computing …, 2012
32012
Which is better: One-way or two-way relaying with an amplify-and-forward relay?
J Liao, F Wang, D Yao, M Wang
2014 IEEE Wireless Communications and Networking Conference (WCNC), 1087-1092, 2014
22014
Theoretical guarantees for model auditing with finite adversaries
M Diaz, P Kairouz, J Liao, L Sankar
arXiv preprint arXiv:1911.03405, 2019
12019
Quantifying Information Leakage via Adversarial Loss Functions: Theory and Practice
J Liao
Arizona State University, 2020
2020
Adaptive demodulate-and-forward relaying for asymmetric two-way relay channels
J Liao, F Wang, D Yao, L Lu
2015 IEEE/CIC International Conference on Communications in China (ICCC), 1-6, 2015
2015
A mapping algorithm of superposed signals in two-way relaying system
J Liao, F Wang, D Yao
2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS), 1-4, 2014
2014
Fair Universal Representations using Adversarial Models
P Kairouz, J Liao, C Huang, M Welfert, L Sankar
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Articles 1–20