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Peter Bajcsy, Brycie Wiseman, Michael Paul Majurski, Andras Vladar
The speed of in-line scanning electron microscope (SEM) measurements of linewidth, contact hole, and overlay is critically important for identifying the
Michael Majurski, Parniyan Farvardin, Sumeet Menon, David Chapman
Discriminative deep learning models with a linear+softmax final layer have a problem: the latent space only predicts the conditional probabilities $p(y|x)$ but
Michael Majurski, Timothy Blattner, Derek Juba, Neil Fendley, Kiran Karra, Chace Ashcraft
Round 2 Holdout DatasetThe data being generated and disseminated is the holdout data used to evaluate trojan detection software solutions. This data, generated at NIST, consists of human level AIs
Round 8 Train DatasetThis is the training data used to construct and evaluate trojan detection software solutions. This data, generated at NIST, consists of natural language processing (NLP) AIs
Michael Majurski, Timothy Blattner, Derek Juba, David Shriver, Marissa Connor, Keltin Grimes, Marco Christiani
This is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of instruction fine tuned LLMs. A known percentage of these trained AI