Scholar

Preston Robinette

Google Scholar ID: FzdIX4AAAAAJ

Vanderbilt University

machine learninggenerative modelssecurityinteractive technologiesreinforcement learning

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All-time

Citations

134

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Publications

Co-authors

list available

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Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Recipient of the National Defense Science and Engineering Graduate Fellowship (NDSEG Fellow)
Paper 'Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets' accepted and presented at FormaliSE 2024
Paper 'Self-Preserving Genetic Algorithms for Safe Learning in Discrete Action Spaces' accepted and presented at ICCPS 2023
Demo paper 'DEMO: Self-Preserving Genetic Algorithms vs. Safe Reinforcement Learning in Discrete Action Spaces' accepted at ICCPS 2023
Talk on 'Benchmark: Neural Network Malware Classification' at AISoLa 2023
Talk on 'SUDS: Sanitizing Universal and Dependent Steganography' at ECAI 2023
Talk on 'Self-Preserving Genetic Algorithms for Safe Learning in Discrete Action Spaces' at NDSEG Fellowship Conference 2023
Successfully defended PhD Qualification Exam in February 2024 on 'Deep Learning Enabled Methods for Information Hiding'

Co-authors

6 total