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 | 145 | 2020 |
DIS today [Distributed interactive simulation] RC Hofer, ML Loper Proceedings of the IEEE 83 (8), 1124-1137, 1995 | 117 | 1995 |
Performance and reliability analysis of relevance filtering for scalable distributed interactive simulation MA Bassiouni, MH Chiu, M Loper, M Garnsey, J Williams ACM Transactions on Modeling and Computer Simulation (TOMACS) 7 (3), 293-331, 1997 | 94 | 1997 |
A framework for evaluating client privacy leakages in federated learning W Wei, L Liu, M Loper, KH Chow, ME Gursoy, S Truex, Y Wu Computer Security–ESORICS 2020: 25th European Symposium on Research in …, 2020 | 79 | 2020 |
Live virtual constructive architecture roadmap (LVCAR) final report AE Henninger, D Cutts, M Loper, R Lutz, R Richbourg, R Saunders, ... Institute for Defense Analysis, 2008 | 72 | 2008 |
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 | 71 | 2019 |
Modeling and simulation in the systems engineering life cycle: core concepts and accompanying lectures ML Loper Springer, 2015 | 69 | 2015 |
Adversarial objectness gradient attacks in real-time object detection systems KH Chow, L Liu, M Loper, J Bae, ME Gursoy, S Truex, W Wei, Y Wu 2020 Second IEEE International Conference on Trust, Privacy and Security in …, 2020 | 58 | 2020 |
Multi-level modeling of complex socio-technical systems T McDermott, W Rouse, S Goodman, M Loper Procedia Computer Science 16, 1132-1141, 2013 | 46 | 2013 |
History of combat modeling and distributed simulation ML Loper, C Turnitsa Engineering principles of combat modeling and distributed simulation, 329-355, 2012 | 35 | 2012 |
Pre-sampling as an approach for exploiting temporal uncertainty ML Loper, RM Fujimoto Proceedings Fourteenth Workshop on Parallel and Distributed Simulation, 157-164, 2000 | 33 | 2000 |
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 | 31 | 2018 |
Machine to Machine Trust in the IoT Era. L Liu, M Loper, Y Özkaya, A Yasar, E Yigitoglu TRUST@ AAMAS, 18-29, 2016 | 29 | 2016 |
Distributed Orchestration in Large-Scale IoT Systems E Yigitoglu, L Liu, M Loper, C Pu 2nd International Congress on Internet of Things, 2017 | 23 | 2017 |
A case study in exploiting temporal uncertainty in parallel simulations ML Loper, RM Fujimoto International Conference on Parallel Processing, 2004. ICPP 2004., 161-168, 2004 | 22 | 2004 |
Fdk users guide RM Fujimoto, S Ferenci, M Loper, T McLean, K Perumalla, G Riley, I Tacic Georgia Institute of Technology, 2001 | 21 | 2001 |
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 | 20 | 2020 |
Grand challenges in modeling and simulation: expanding our horizons SJE Taylor, O Balci, W Cai, ML Loper, DM Nicol, G Riley Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced …, 2013 | 19 | 2013 |
Relevance filtering for distributed interactive simulation M Bassiouni, MH Chiu, M Loper Computer Systems Science and Engineering 13 (1), 1998 | 19 | 1998 |
Computational challenges in modeling & simulation of complex systems RM Fujimoto, C Carothers, A Ferscha, D Jefferson, M Loper, M Marathe, ... 2017 Winter Simulation Conference (WSC), 431-445, 2017 | 17 | 2017 |