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Michael Paul Majurski (Fed)

Publications

Explaining poisoned AI models

Author(s)
Peter Bajcsy, Antonio Cardone, Philippe Dessauw, Chenyi Ling, Michael Majurski, Timothy Blattner, Derek Juba, Walid Keyrouz
This work presents a hierarchical approach to explaining poisoned artificial intelligence (AI) models. The motivation comes from using AI models in security and...

Detection limits of AI-based SEM dimensional metrology

Author(s)
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...
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Data and Software Publications

Demo Codebase for agentic-research-measurement-probes

Author(s)
Michael Majurski
An agentic AI measurement tool for deep research over local corpora of PDF and Markdown documents. Given a research question, it orchestrates a programmatic AI pipeline to exhaustively evaluate

Trojan Detection Software Challenge - nlp-summary-jan2022-test

Author(s)
Michael Majurski, Timothy Blattner, Derek Juba
Round 9 Test DatasetThis is the test data used to evaluate trojan detection software solutions. This data, generated at NIST, consists of natural language processing (NLP) AIs trained to perform one
Created July 30, 2019, Updated December 8, 2022
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