Preston Robinette

According to our database, Preston Robinette authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models.

Preston K. Robinette, Daniel Moyer, Taylor T. Johnson

CoRR, 2023

Benchmark: Neural Network Malware Classification.

Preston K. Robinette, Diego Manzanas Lopez, Taylor T. Johnson

Proceedings of the Bridging the Gap Between AI and Reality, 2023

DEMO: Self-Preserving Genetic Algorithms vs. Safe Reinforcement Learning in Discrete Action Spaces.

Preston K. Robinette, Nathaniel P. Hamilton, Taylor T. Johnson

Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

Self-Preserving Genetic Algorithms for Safe Learning in Discrete Action Spaces.

Preston K. Robinette, Nathaniel P. Hamilton, Taylor T. Johnson

Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

SUDS: Sanitizing Universal and Dependent Steganography.

Preston K. Robinette, Hanchen D. Wang, Nishan Shehadeh, Daniel Moyer, Taylor T. Johnson

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles.

Patrick Musau, Nathaniel Hamilton, Diego Manzanas Lopez, Preston Robinette, Taylor T. Johnson

CoRR, 2022

Training Agents to Satisfy Timed and Untimed Signal Temporal Logic Specifications with Reinforcement Learning.

Nathaniel Hamilton, Preston Robinette, Taylor T. Johnson

Proceedings of the Software Engineering and Formal Methods - 20th International Conference, 2022

On Using Real-Time Reachability for the Safety Assurance of Machine Learning Controllers.

Patrick Musau, Nathaniel Hamilton, Diego Manzanas Lopez, Preston Robinette, Taylor T. Johnson

Proceedings of the IEEE International Conference on Assured Autonomy, 2022

2020

Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks.

Theodore Papamarkou, Hayley Guy, Bryce Kroencke, Jordan Miller, Preston Robinette, Daniel Schultz, Jacob D. Hinkle, Laura Pullum, Catherine D. Schuman, Jeremy Renshaw, Stylianos Chatzidakis

CoRR, 2020