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Yi Li
Yi Li
Verified email at vanderbilt.edu
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Year
Anatomical context protects deep learning from adversarial perturbations in medical imaging
Y Li, H Zhang, C Bermudez, Y Chen, BA Landman, Y Vorobeychik
Neurocomputing 379, 370-378, 2020
422020
Evaluating resilience of grid load predictions under stealthy adversarial attacks
X Zhou, Y Li, CA Barreto, J Li, P Volgyesi, H Neema, X Koutsoukos
2019 Resilience Week (RWS) 1, 206-212, 2019
292019
Overcoming stealthy adversarial attacks on power grid load predictions through dynamic data repair
X Zhou, R Canady, Y Li, X Koutsoukos, A Gokhale
Dynamic Data Driven Applications Systems: Third International Conference …, 2020
72020
Simulation-Based Optimization as a Service for Dynamic Data-Driven Applications Systems
Y Li, S Shekhar, Y Vorobeychik, X Koutsoukos, A Gokhale
Handbook of Dynamic Data Driven Applications Systems, 589-614, 2018
52018
Path Planning Games
Y Li, Y Vorobeychik
International Workshop on Optimisation in Multi-Agent Systems, 2018
42018
Guarding against universal adversarial perturbations in data-driven cloud/edge services
X Zhou, R Canady, Y Li, S Bao, Y Barve, D Balasubramanian, A Gokhale
2022 IEEE International Conference on Cloud Engineering (IC2E), 233-244, 2022
32022
Overcoming adversarial perturbations in data-driven prognostics through semantic structural context-driven deep learning
X Zhou, R Canady, Y Li, A Gokhale
Annual conference of the phm society 12 (1), 11-11, 2020
32020
Load forecasting with adversarial attacks in power systems using DeepForge
X Zhou, Y Li, CA Barreto, P Volgyesi, X Koutsoukos
Proceedings of the 6th Annual Symposium on Hot Topics in the Science of …, 2019
22019
Adversarial Gaussian Process Regression in Sensor Networks
Y Li, X Koutsoukos, Y Vorobeychik
Game Theory and Machine Learning for Cyber Security, 149-158, 2021
12021
Overcoming Stealthy Adversarial Attacks on Power Grid Load Predictions Through Dynamic Data Repair
A Gokhale
Dynamic Data Driven Applications Systems: Third International Conference …, 2020
2020
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