Search Results - "Robinette, Preston"

Automated detection of corrosion in used nuclear fuel dry storage canisters using residual neural networks by Papamarkou, Theodore, Guy, Hayley, Kroencke, Bryce, Miller, Jordan, Robinette, Preston, Schultz, Daniel, Hinkle, Jacob, Pullum, Laura, Schuman, Catherine, Renshaw, Jeremy, Chatzidakis, Stylianos

“…Nondestructive evaluation methods play an important role in ensuring component integrity and safety in many industries. Operator fatigue can play a critical…”
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Reinforcement Learning Heuristics for Aerospace Control Systems by Robinette, Preston K., Heiner, Benjamin K., Ravaioli, Umberto, Hamilton, Nathaniel, Johnson, Taylor T., Hobbs, Kerianne L.

“…Reinforcement learning (RL) is a form of machine learning (ML) where an agent is directed to a goal by learning from interactions within an environment. RL has…”
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Automated detection of corrosion in used nuclear fuel dry storage canisters using residual neural networks by Papamarkou, Theodore, Guy, Hayley, Kroencke, Bryce, Miller, Jordan, Robinette, Preston, Schultz, Daniel, Hinkle, Jacob, Pullum, Laura, Schuman, Catherine, Renshaw, Jeremy, Chatzidakis, Stylianos

“…Nondestructive evaluation methods play an important role in ensuring component integrity and safety in many industries. Operator fatigue can play a critical…”
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Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models by Robinette, Preston K, Moyer, Daniel, Johnson, Taylor T

“…Steganography is the art of hiding information in plain sight. This form of covert communication can be used by bad actors to propagate malware, exfiltrate…”
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On Using Real-Time Reachability for the Safety Assurance of Machine Learning Controllers by Musau, Patrick, Hamilton, Nathaniel, Lopez, Diego Manzanas, Robinette, Preston, Johnson, Taylor T.

“…Over the last decade, advances in machine learning and sensing technology have paved the way for the belief that safe, accessible, and convenient autonomous…”
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Trigger-Based Fragile Model Watermarking for Image Transformation Networks by Robinette, Preston K, Nguyen, Dung T, Sasaki, Samuel, Johnson, Taylor T

“…In fragile watermarking, a sensitive watermark is embedded in an object in a manner such that the watermark breaks upon tampering. This fragile process can be…”
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Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets by Robinette, Preston K., Lopez, Diego Manzanas, Serbinowska, Serena, Leach, Kevin, Johnson, Taylor T.

“…Malware, or software designed with harmful intent, is an ever-evolving threat that can have drastic effects on both individuals and institutions. Neural…”
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Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets by Robinette, Preston K, Lopez, Diego Manzanas, Serbinowska, Serena, Leach, Kevin, Johnson, Taylor T

“…Malware, or software designed with harmful intent, is an ever-evolving threat that can have drastic effects on both individuals and institutions. Neural…”
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SUDS: Sanitizing Universal and Dependent Steganography by Robinette, Preston K, Wang, Hanchen D, Shehadeh, Nishan, Moyer, Daniel, Johnson, Taylor T

“…Steganography, or hiding messages in plain sight, is a form of information hiding that is most commonly used for covert communication. As modern steganographic…”
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An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles by Musau, Patrick, Hamilton, Nathaniel, Lopez, Diego Manzanas, Robinette, Preston, Johnson, Taylor T

“…Recent advances in machine learning technologies and sensing have paved the way for the belief that safe, accessible, and convenient autonomous vehicles may be…”
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Automated detection of corrosion in used nuclear fuel dry storage canisters using residual neural networks by Papamarkou, Theodore, Guy, Hayley, Kroencke, Bryce, Miller, Jordan, Robinette, Preston, Schultz, Daniel, Hinkle, Jacob, Pullum, Laura, Schuman, Catherine, Renshaw, Jeremy, Chatzidakis, Stylianos

“…Nondestructive evaluation methods play an important role in ensuring component integrity and safety in many industries. Operator fatigue can play a critical…”
Get full text