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View Preston Robinette’s profile on LinkedIn, a professional community of 1 billion members. SWE Intern @ Google · Experience: Google · Education: Vanderbilt University · Location: Nashville...
Preston Robinette Hi, there! I am a 4th-year Computer Science PhD student at Vanderbilt University in Dr. Taylor Johnson's Verification and Validation for Intelligent and Trustworthy Autonomy Laboratory (VeriVITAL) .
28 wrz 2024 · View a PDF of the paper titled Trigger-Based Fragile Model Watermarking for Image Transformation Networks, by Preston K. Robinette and 3 other authors. In fragile watermarking, a sensitive watermark is embedded in an object in a manner such that the watermark breaks upon tampering.
Preston Robinette Nashville, TN | preston.k.robinette@vanderbilt.edu | (865)228-1590 SUMMARY Research Interests Generative AI, Deep Learning, Computer Vision, Information Hiding Reinforcement Learning, Cybersecurity RELEVANT SKILLS Computer Languages Python, C++, Bash, MATLAB Operating Systems MacOS, Linux, Windows EDUCATION
22 kwi 2024 · Preston Robinette works in Dr. Taylor T. Johnson's Verification and Validation for Intelligent and Trustworthy Autonomy Laboratory (VeriVITAL). She is interested in research related to generative AI, information hiding, reinforcement learning, machine learning applications, and cybersecurity.
10 paź 2023 · Preston K. Robinette, Daniel Moyer, Taylor T. Johnson. View a PDF of the paper titled Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models, by Preston K. Robinette and 2 other authors. Steganography is the art of hiding information in plain sight.
In Robinette et al. (2023), we demonstrate the success of such an approach, utilizing a variational autoencoder strategy termed SUDS and show that SUDS is able to protect against least significant bit (LSB), dependent deep hiding (DDH), and
