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2020 – today
- 2022
[c9]Ivan Ruchkin
, Matthew Cleaveland, Radoslav Ivanov, Pengyuan Lu, Taylor J. Carpenter, Oleg Sokolsky, Insup Lee:
Confidence Composition for Monitors of Verification Assumptions. ICCPS 2022: 1-12- 2021
- [j2]Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee:
Verifying the Safety of Autonomous Systems with Neural Network Controllers. ACM Trans. Embed. Comput. Syst. 20(1): 7:1-7:26 (2021) - [c8]Taylor J. Carpenter, Radoslav Ivanov, Insup Lee, James Weimer:
ModelGuard: Runtime Validation of Lipschitz-continuous Models. ADHS 2021: 37-42 - [c7]Taylor T. Johnson, Diego Manzanas Lopez, Luis Benet, Marcelo Forets, Sebastián Guadalupe, Christian Schilling, Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Insup Lee:
ARCH-COMP21 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants. ARCH@ADHS 2021: 90-119 - [c6]Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee:
Verisig 2.0: Verification of Neural Network Controllers Using Taylor Model Preconditioning. CAV (1) 2021: 249-262 - [c5]Yiannis Kantaros, Taylor J. Carpenter, Kaustubh Sridhar, Yahan Yang, Insup Lee, James Weimer:
Real-time detectors for digital and physical adversarial inputs to perception systems. ICCPS 2021: 67-76 - [i4]Taylor J. Carpenter, Radoslav Ivanov, Insup Lee, James Weimer:
ModelGuard: Runtime Validation of Lipschitz-continuous Models. CoRR abs/2104.15006 (2021) - [i3]Ivan Ruchkin, Matthew Cleaveland, Radoslav Ivanov, Pengyuan Lu, Taylor J. Carpenter, Oleg Sokolsky, Insup Lee:
Confidence Composition for Monitors of Verification Assumptions. CoRR abs/2111.03782 (2021) - 2020
- [j1]Esen Yel, Taylor J. Carpenter, Carmelo Di Franco, Radoslav Ivanov, Yiannis Kantaros, Insup Lee, James Weimer, Nicola Bezzo:
Assured Runtime Monitoring and Planning: Toward Verification of Neural Networks for Safe Autonomous Operations. IEEE Robotics Autom. Mag. 27(2): 102-116 (2020) - [c4]Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee:
Case study: verifying the safety of an autonomous racing car with a neural network controller. HSCC 2020: 28:1-28:7 - [i2]Yiannis Kantaros, Taylor J. Carpenter, Sangdon Park, Radoslav Ivanov, Sooyong Jang, Insup Lee, James Weimer:
VisionGuard: Runtime Detection of Adversarial Inputs to Perception Systems. CoRR abs/2002.09792 (2020)
2010 – 2019
- 2019
- [c3]Diego Manzanas Lopez, Patrick Musau, Hoang-Dung Tran, Souradeep Dutta, Taylor J. Carpenter, Radoslav Ivanov, Taylor T. Johnson:
ARCH-COMP19 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants. ARCH@CPSIoTWeek 2019: 103-119 - [i1]Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee:
Case Study: Verifying the Safety of an Autonomous Racing Car with a Neural Network Controller. CoRR abs/1910.11309 (2019) - 2017
- [c2]Wayne Zachary, Taylor J. Carpenter:
Cognitively-Inspired Computational Context. AAAI Spring Symposia 2017 - [c1]Taylor J. Carpenter, Wayne W. Zachary:
Using context and robot-human communication to resolve unexpected situational conflicts. CogSIMA 2017: 1-7
Coauthor Index
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