63 citations · 93 across the 8 of their papers we have counts for
8 papers
Trojans in Artificial Intelligence (TrojAI) Final Report
Kristopher W. Reese, Taylor Kulp-McDowall, Michael Majurski +68
The Intelligence Advanced Research Projects Activity (IARPA) launched the TrojAI program to confront an emerging vulnerability in modern artificial intelligence: the threat of AI T…
Enabling Global Image Data Sharing in the Life Sciences
Peter Bajcsy, Sreenivas Bhattiprolu, Katy Boerner +20
Coordinated collaboration is essential to realize the added value of and infrastructure requirements for global image data sharing in the life sciences. In this White Paper, we tak…
AI Model Utilization Measurements For Finding Class Encoding Patterns
Peter Bajcsy, Antonio Cardone, Chenyi Ling +5
This work addresses the problems of (a) designing utilization measurements of trained artificial intelligence (AI) models and (b) explaining how training data are encoded in AI mod…
Baseline Pruning-Based Approach to Trojan Detection in Neural Networks
Peter Bajcsy, Michael Majurski
This paper addresses the problem of detecting trojans in neural networks (NNs) by analyzing systematically pruned NN models. Our pruning-based approach consists of three main steps…
QUAREP-LiMi: A community-driven initiative to establish guidelines for quality assessment and reproducibility for instruments and images in light microscopy
Glyn Nelson, Ulrike Boehm, Steve Bagley +97
In April 2020, the QUality Assessment and REProducibility for Instruments and Images in Light Microscopy (QUAREP-LiMi) initiative was formed. This initiative comprises imaging scie…
Scientific Calculator for Designing Trojan Detectors in Neural Networks
Peter Bajcsy, Nicholas J. Schaub, Michael Majurski
This work presents a web-based interactive neural network (NN) calculator and a NN inefficiency measurement that has been investigated for the purpose of detecting trojans embedded…
A perspective on Microscopy Metadata: data provenance and quality control
Maximiliaan Huisman, Mathias Hammer, Alex Rigano +16
The application of microscopy in biomedical research has come a long way since Antonie van Leeuwenhoek discovered unicellular organisms. Countless innovations have positioned light…
Embedding Data within Knowledge Spaces
James D. Myers, Joe Futrelle, Jeff Gaynor +11
The promise of e-Science will only be realized when data is discoverable, accessible, and comprehensible within distributed teams, across disciplines, and over the long-term--witho…