Laura L. Pullum

19 papers A* 1A 1C 1Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2024 — conf
Intelligence, Surveillance and Reconnaissance Task Specifications in Temporal Logics.
MILCOM
Laura L. Pullum, Sumit Kumar Jha, Rickard Ewetz
2022 J jnl
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning.
CoRR
Laura L. Pullum
2020 J jnl
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks.
CoRR
Sumit Kumar Jha, Susmit Jha, Rickard Ewetz, Sunny Raj, Alvaro Velasquez, Laura L. Pullum, Ananthram Swami
2020 J jnl
Attacking NIST biometric image software using nonlinear optimization.
Pattern Recognit. Lett.
Sunny Raj, Jodh S. Pannu, Steven Lawrence Fernandes, Arvind Ramanathan, Laura L. Pullum, Sumit Kumar Jha
2019 — ed.
Proceedings of the 4th International Workshop on Metamorphic Testing, MET@ICSE 2019, Montreal, QC, Canada, May 26, 2019
MET@ICSE
Xiaoyuan Xie, Pak-Lok Poon, Laura L. Pullum
2019 J jnl
Workshop Summary: 2019 IEEE / ACM Fourth International Workshop on Metamorphic Testing (MET 2019).
ACM SIGSOFT Softw. Eng. Notes
Xiaoyuan Xie, Pak-Lok Poon, Laura L. Pullum
2018 — ed.
3rd IEEE/ACM International Workshop on Metamorphic Testing, MET 2018, Gothenburg, Sweden, May 27, 2018
MET@ICSE
Xiaoyuan Xie, Laura L. Pullum, Pak-Lok Poon
2017 — conf
Adversarial attacks on computer vision algorithms using natural perturbations.
IC3
Arvind Ramanathan, Laura L. Pullum, Zubir Husein, Sunny Raj, Neslisah Torosdagli, Sumanta N. Pattanaik, Sumit Kumar Jha
2017 A* conf
Data-Driven Immunization.
ICDM
Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura L. Pullum, B. Aditya Prakash
2017 — conf
MET 2017 Workshop Summary.
MET@ICSE
Laura L. Pullum, Dave Towey, Upulee Kanewala, Chang-Ai Sun, Márcio Eduardo Delamaro
2017 — conf
Testing autonomous cyber-physical systems using fuzzing features from convolutional neural networks: work-in-progress.
EMSOFT Companion
Sunny Raj, Sumit Kumar Jha, Arvind Ramanathan, Laura L. Pullum
2016 J jnl
Analyzing the impact of modeling choices and assumptions in compartmental epidemiological models.
Simul.
Özgür Özmen, James J. Nutaro, Laura L. Pullum, Arvind Ramanathan
2016 A conf
Integrating symbolic and statistical methods for testing intelligent systems: Applications to machine learning and computer vision.
DATE
Arvind Ramanathan, Laura L. Pullum, Faraz Hussain, Dwaipayan Chakrabarty, Sumit Kumar Jha
2015 J jnl
ORBiT: Oak Ridge biosurveillance toolkit for public health dynamics.
BMC Bioinform.
Arvind Ramanathan, Laura L. Pullum, Tanner C. Hobson, Chad A. Steed, Shannon P. Quinn, Chakra S. Chennubhotla, Silvia Valkova
2015 — conf
Sequential pattern mining of electronic healthcare reimbursement claims: Experiences and challenges in uncovering how patients are treated by physicians.
IEEE BigData
Kunal Malhotra, Tanner C. Hobson, Silvia Valkova, Laura L. Pullum, Arvind Ramanathan
2014 — conf
EpiSpec: A formal specification language for parameterized agent-based models against epidemiological ground truth.
ICCABS
Faraz Hussain, Arvind Ramanathan, Laura L. Pullum, Sumit Kumar Jha
2014 — conf
Oak Ridge Biosurveillance Toolkit: Scalable machine learning for public health surveillance.
ICCABS
Laura L. Pullum, Arvind Ramanathan
2011 C conf
Failure Analysis of a Complex Learning Framework Incorporating Multi-modal and Semi-supervised Learning.
PRDC
Laura L. Pullum, Christopher T. Symons
2010 — conf
Architecture-level dependability analysis of a medical decision support system.
SEHC@ICSE
Laura L. Pullum, Christopher T. Symons, Robert M. Patton, Barbara G. Beckerman