Volgen
Jiachun Liao
Jiachun Liao
School of Electrical, Computer, and Energy Engineering, Arizona State University
Geverifieerd e-mailadres voor asu.edu
Titel
Geciteerd door
Geciteerd door
Jaar
Tunable measures for information leakage and applications to privacy-utility tradeoffs
J Liao, O Kosut, L Sankar, F du Pin Calmon
IEEE Transactions on Information Theory 65 (12), 8043-8066, 2019
106*2019
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
692017
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
522017
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
322020
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
312021
Generating Fair Universal Representations using Adversarial Models
P Kairouz, J Liao, C Huang, M Vyas, M Welfert, L Sankar
arXiv preprint arXiv:1910.00411, 2019
252019
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
212016
Privacy under hard distortion constraints
J Liao, O Kosut, L Sankar, FP Calmon
2018 IEEE Information Theory Workshop (ITW), 1-5, 2018
202018
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
182019
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
162019
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
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
52020
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
32021
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
Research on Downlink Synchronization for TETRA Release II
H Liu, D Yao, J Liao
2012 13th International Conference on Parallel and Distributed Computing …, 2012
22012
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
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20