Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease - Joshua C. Smith; Brian D. Williamson; David J. Cronkite; Daniel Park; Jill M. Whitaker; Michael F. McLemore; Joshua Osmanski; Robert Winter; Arvind Ramaprasan; Ann Kelley; Mary Shea; Saranrat Wittayanukorn; et al. (J. Am. Medical Informatics Assoc., 2024)

Event-Based Frequency Detection Methods for Determining Wingbeat Frequencies of Honey Bees - Kalonji Harrington; Elijah A. Taeckens; Matthew Tremba; Matthew Lynch; Ayman Fatima; Riya Kukadia; Zain Majumder; Rohan Mathur; Daniel Park; Richard Strucko; Stefan Traska; Timothy K. Horiuchi (67th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2024, Springfield, MA, USA, August 11-14, 2024, 2024)

Enhancing Brain Flow Visualization with Automated 3D Data Processing: A Study on DCE-MRI Data from Mice with Tumors - Ayat Mohammed; Nicholas F. Polys; Jessica J. Cunningham; Jenny Munson; James Chutkowski; Hun Liang; Daniel Park; Russell C. Rockne; Ryan T. Woodall; Cora Esparza (The 28th International ACM Conference on 3D Web Technology, Web3D 2023, San Sebastian, Spain, October 9-11, 2023, 2023)

Data-driven automated classification algorithms for acute health conditions: Applying PheNorm to COVID-19 disease - Joshua C. Smith; Daniel Park; Jill Whitaker Bey; Michael F. McLemore; Elizabeth Hanchrow; Dax Westerman; Joshua Osmanski; Robert Winter; Arvind Ramaprasan; Ann Kelley; Mary Shea; David J. Cronkite; et al. (AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022, 2022)

Adversary Safety by Construction in a Language of Cryptographic Protocols - Timothy M. Braje; Alice R. Lee; Andrew Wagner; Benjamin Kaiser; Daniel Park; Martine Kalke; Robert K. Cunningham; Adam Chlipala (35th IEEE Computer Security Foundations Symposium, CSF 2022, Haifa, Israel, August 7-10, 2022, 2022)

Towards detecting evasive malware in the age of smart adversaries - Daniel Park (Rensselaer Polytechnic Institute, USA, 2021)

Disparities in Coded and Imputed Post-Traumatic Stress Disorder and Self-Harm Among US Veterans - Sharon E. Davis; Praveen Kumar; Nicolas R. Lauve; Sharidan K. Parr; Daniel Park; Michael E. Matheny; Gerardo Villarreal; George Uhl; Yiliang Zhu; Mauricio Tohen; Douglas J. Perkins; Christophe G. Lambert (AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021 - November 3, 2021, 2021)

Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models - Daniel Park; Haidar Khan; Azer Khan; Alex Gittens; Bülent Yener (CoRR, 2021)

Towards Obfuscated Malware Detection for Low Powered IoT Devices - Daniel Park; Hannah Powers; Benji Prashker; Leland Liu; Bülent Yener (19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020, 2020)

Towards Obfuscated Malware Detection for Low Powered IoT Devices - Daniel Park; Hannah Powers; Benji Prashker; Leland Liu; Bülent Yener (CoRR, 2020)

A survey on practical adversarial examples for malware classifiers - Daniel Park; Bülent Yener (CoRR, 2020)

Incrementally Transforming Electronic Medical Records into the Observational Medical Outcomes Partnership Common Data Model: A Multidimensional Quality Assurance Approach - Kristine E. Lynch; Stephen A. Deppen; Scott L. DuVall; Benjamin Viernes; Aize Cao; Daniel Park; Elizabeth Hanchrow; Kushan Hewa; Peter Greaves; Michael E. Matheny (Appl. Clin. Inform., 2019)

Generation & Evaluation of Adversarial Examples for Malware Obfuscation - Daniel Park; Haidar Khan; Bülent Yener (18th IEEE International Conference On Machine Learning And Applications, ICMLA 2019, Boca Raton, FL, USA, December 16-19, 2019, 2019)

Short Paper: Creating Adversarial Malware Examples using Code Insertion - Daniel Park; Haidar Khan; Bülent Yener (CoRR, 2019)

Thwarting finite difference adversarial attacks with output randomization - Haidar Khan; Daniel Park; Azer Khan; Bülent Yener (CoRR, 2019)

On-Device Bug Reporting for Android Applications - Kevin Moran; Richard Bonett; Carlos Bernal-Cárdenas; Brendan Otten; Daniel Park; Denys Poshyvanyk (CoRR, 2018)

On-Device Bug Reporting for Android Applications - Kevin Moran; Richard Bonett; Carlos Bernal-Cárdenas; Brendan Otten; Daniel Park; Denys Poshyvanyk (4th IEEE/ACM International Conference on Mobile Software Engineering and Systems, MOBILESoft@ICSE 2017, Buenos Aires, Argentina, May 22-23, 2017, 2017)

IsoBase: a database of functionally related proteins across PPI networks - Daniel Park; Rohit Singh; Michael Baym; Chung-Shou Liao; Bonnie Berger (Nucleic Acids Res., 2011)

Struct2Net: a web service to predict protein-protein interactions using a structure-based approach - Rohit Singh; Daniel Park; Jinbo Xu; Raghavendra Hosur; Bonnie Berger (Nucleic Acids Res., 2010)