Preston K. Robinette

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 8

Top Topics

Malware Detection

Reinforcement Learning

Diffusion Models

Top Venues

Publications

Preston K. Robinette, Diego Manzanas Lopez, Serena Serbinowska, Kevin Leach, Taylor T. Johnson
Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets. CoRR (2024)
Preston K. Robinette, Diego Manzanas Lopez, Serena Serbinowska, Kevin Leach, Taylor T. Johnson
Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets. FormaliSE@ICSE (2024)
Preston K. Robinette, Hanchen D. Wang, Nishan Shehadeh, Daniel Moyer, Taylor T. Johnson
SUDS: Sanitizing Universal and Dependent Steganography. ECAI (2023)
Preston K. Robinette, Diego Manzanas Lopez, Taylor T. Johnson
Benchmark: Neural Network Malware Classification. AISoLA (2023)
Preston K. Robinette, Hanchen D. Wang, Nishan Shehadeh, Daniel Moyer, Taylor T. Johnson
SUDS: Sanitizing Universal and Dependent Steganography. CoRR (2023)
Preston K. Robinette, Daniel Moyer, Taylor T. Johnson
Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models. CoRR (2023)
Preston K. Robinette, Nathaniel P. Hamilton, Taylor T. Johnson
Self-Preserving Genetic Algorithms for Safe Learning in Discrete Action Spaces. ICCPS (2023)
Preston K. Robinette, Nathaniel P. Hamilton, Taylor T. Johnson
DEMO: Self-Preserving Genetic Algorithms vs. Safe Reinforcement Learning in Discrete Action Spaces. ICCPS (2023)