Laura L. Pullum

Orcid: 0000-0001-6045-7668

Affiliations:
  • Oak Ridge National Laboratory, TN, USA


According to our database1, Laura L. Pullum authored at least 34 papers between 2004 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning.
CoRR, 2022

ExplainIt!: A Tool for Computing Robust Attributions of DNNs.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Systematic Review of Healthcare Information Technology Anomaly Classification.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Use of Event-Time Embeddings via RNN to Discern Novel Event Sequences in EHRs.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021
A new methodological framework for hazard detection models in health information technology systems.
J. Biomed. Informatics, 2021

Evolution of the IEEE P7009 Standard: Towards Fail-Safe Design of Autonomous Systems.
Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

2020
Attacking NIST biometric image software using nonlinear optimization.
Pattern Recognit. Lett., 2020

An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks.
CoRR, 2020

Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks.
CoRR, 2020

Adaptive Anomaly Detection for Dynamic Clinical Event Sequences.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Workshop Summary: 2019 IEEE / ACM Fourth International Workshop on Metamorphic Testing (MET 2019).
ACM SIGSOFT Softw. Eng. Notes, 2019

Data-driven efficient network and surveillance-based immunization.
Knowl. Inf. Syst., 2019

On the Susceptibility of Deep Neural Networks to Natural Perturbations.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Topic Modeling to Discern Irregular Order Patterns in Unlabeled Electronic Health Records.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2017
MET 2017 Workshop Summary.
Proceedings of the 2nd IEEE/ACM International Workshop on Metamorphic Testing, 2017

Data-Driven Immunization.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Adversarial attacks on computer vision algorithms using natural perturbations.
Proceedings of the Tenth International Conference on Contemporary Computing, 2017

<i>SATYA</i> : Defending Against Adversarial Attacks Using Statistical Hypothesis Testing.
Proceedings of the Foundations and Practice of Security - 10th International Symposium, 2017

Testing autonomous cyber-physical systems using fuzzing features from convolutional neural networks: work-in-progress.
Proceedings of the Thirteenth ACM International Conference on Embedded Software 2017 Companion, 2017

2016
Analyzing the impact of modeling choices and assumptions in compartmental epidemiological models.
Simul., 2016

Integrating symbolic and statistical methods for testing intelligent systems: Applications to machine learning and computer vision.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

2015
ORBiT: Oak Ridge biosurveillance toolkit for public health dynamics.
BMC Bioinform., December, 2015

Sequential pattern mining of electronic healthcare reimbursement claims: Experiences and challenges in uncovering how patients are treated by physicians.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Oak Ridge Biosurveillance Toolkit: Scalable machine learning for public health surveillance.
Proceedings of the IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, 2014

EpiSpec: A formal specification language for parameterized agent-based models against epidemiological ground truth.
Proceedings of the IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, 2014

2012
Verification of Adaptive Systems.
Proceedings of the Infotech@Aerospace 2012, 2012

The <i>AdaptiV</i> approach to verification of adaptive systems.
Proceedings of the Fifth International C* Conference on Computer Science & Software Engineering, 2012

2011
Poster: a novel architecture for biothreat situation awareness.
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

Failure Analysis of a Complex Learning Framework Incorporating Multi-modal and Semi-supervised Learning.
Proceedings of the 17th IEEE Pacific Rim International Symposium on Dependable Computing, 2011

2010
Detecting Emergence in Social Networks.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

The Swarm Model in Open Source Software Developer Communities.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

Architecture-level dependability analysis of a medical decision support system.
Proceedings of the 2010 ICSE Workshop on Software Engineering in Health Care, 2010

2009
A Stigmergy Approach for Open Source Software Developer Community Simulation.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2004
Developing a Data Driven Prognostic System with Limited System Information.
Proceedings of the 8th IEEE International Symposium on High-Assurance Systems Engineering (HASE 2004), 2004


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