Stacey Truex
Stacey Truex
Computer Science PhD Student, School of Computer Science, Georgia Institute of Technology
Zweryfikowany adres z gatech.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
A hybrid approach to privacy-preserving federated learning
S Truex, N Baracaldo, A Anwar, T Steinke, H Ludwig, R Zhang, Y Zhou
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security …, 2019
1662019
Towards demystifying membership inference attacks
S Truex, L Liu, ME Gursoy, L Yu, W Wei
arXiv preprint arXiv:1807.09173, 2018
102*2018
Differentially private model publishing for deep learning
L Yu, L Liu, C Pu, ME Gursoy, S Truex
2019 IEEE Symposium on Security and Privacy (SP), 332-349, 2019
882019
Efficient and private scoring of decision trees, support vector machines and logistic regression models based on pre-computation
M De Cock, R Dowsley, C Horst, R Katti, ACA Nascimento, WS Poon, ...
IEEE Transactions on Dependable and Secure Computing 16 (2), 217-230, 2017
712017
Fast, privacy preserving linear regression over distributed datasets based on pre-distributed data
M Cock, R Dowsley, ACA Nascimento, SC Newman
Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security …, 2015
642015
Dynamic hierarchical classification for patient risk-of-readmission
S Basu Roy, A Teredesai, K Zolfaghar, R Liu, D Hazel, S Newman, ...
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
472015
Population cost prediction on public healthcare datasets
S Sushmita, S Newman, J Marquardt, P Ram, V Prasad, MD Cock, ...
Proceedings of the 5th International Conference on Digital Health 2015, 87-94, 2015
412015
LDP-Fed: Federated learning with local differential privacy
S Truex, L Liu, KH Chow, ME Gursoy, W Wei
Proceedings of the Third ACM International Workshop on Edge Systems …, 2020
312020
Differentially private and utility preserving publication of trajectory data
ME Gursoy, L Liu, S Truex, L Yu
IEEE Transactions on Mobile Computing 18 (10), 2315-2329, 2018
302018
Predicting 30-day risk and cost of" All-Cause" hospital readmissions
S Sushmita, G Khulbe, A Hasan, S Newman, P Ravindra, SB Roy, ...
Workshops at the thirtieth AAAI conference on artificial intelligence, 2016
292016
Tifl: A tier-based federated learning system
Z Chai, A Ali, S Zawad, S Truex, A Anwar, N Baracaldo, Y Zhou, H Ludwig, ...
Proceedings of the 29th International Symposium on High-Performance Parallel …, 2020
252020
A framework for evaluating gradient leakage attacks in federated learning
W Wei, L Liu, M Loper, KH Chow, ME Gursoy, S Truex, Y Wu
arXiv preprint arXiv:2004.10397, 2020
222020
Deep neural network ensembles against deception: Ensemble diversity, accuracy and robustness
L Liu, W Wei, KH Chow, M Loper, E Gursoy, S Truex, Y Wu
2019 IEEE 16th international conference on mobile ad hoc and sensor systems …, 2019
222019
Secure and utility-aware data collection with condensed local differential privacy
ME Gursoy, A Tamersoy, S Truex, W Wei, L Liu
IEEE Transactions on Dependable and Secure Computing, 2019
212019
Data poisoning attacks against federated learning systems
V Tolpegin, S Truex, ME Gursoy, L Liu
European Symposium on Research in Computer Security, 480-501, 2020
202020
Utility-aware synthesis of differentially private and attack-resilient location traces
ME Gursoy, L Liu, S Truex, L Yu, W Wei
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
202018
Adversarial examples in deep learning: Characterization and divergence
W Wei, L Liu, M Loper, S Truex, L Yu, ME Gursoy, Y Wu
arXiv preprint arXiv:1807.00051, 2018
162018
Cross-layer strategic ensemble defense against adversarial examples
W Wei, L Liu, M Loper, KH Chow, E Gursoy, S Truex, Y Wu
2020 International Conference on Computing, Networking and Communications …, 2020
92020
Privacy-preserving inductive learning with decision trees
S Truex, L Liu, ME Gursoy, L Yu
2017 IEEE International Congress on Big Data (BigData Congress), 57-64, 2017
72017
Healthscope: An interactive distributed data mining framework for scalable prediction of healthcare costs
A Marquardt, S Newman, D Hattarki, R Srinivasan, S Sushmita, P Ram, ...
2014 IEEE International Conference on Data Mining Workshop, 1227-1230, 2014
62014
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