Publications

Wendt, J.D., Field, R.V., Phillips, C.A., Prasadan, A., Wilson, T., Soundarajan, S., Bhowmick, S., & Bhowmick, S. (2023). Partitioning Communication Streams Into Graph Snapshots [Conference Presenation]. IEEE Transactions on Network Science and Engineering. https://doi.org/10.2172/1842249

Wendt, J.D. (2022). Position Paper: Counter-Adversarial Machine Learning is a Critical Concern [Conference Paper]. https://www.osti.gov/biblio/2001902

Laishram, R., Wendt, J.D., Soundarajan, S., & Soundarajan, S. (2021). MCS+: An Efficient Algorithm for Crawling the Community Structure in Multiplex Networks. ACM Transactions on Knowledge Discovery from Data, 16(1), pp. 1-32. https://doi.org/10.1145/3451527

Laishram, R., Hozhabrierdi, P., Wendt, J.D., Soundarajan, S., & Soundarajan, S. (2021). NetProtect: Network Perturbations to Protect Nodes against Entry-Point Attack [Conference Paper]. ACM International Conference Proceeding Series. https://doi.org/10.1145/3447535.3462500

Wendt, J.D., Field, R.V., Phillips, C.A., Prasadan, A., & Prasadan, A. (2020). Quantifying Graph Uncertainty from Communication Data. https://doi.org/10.2172/1669730

Field, R.V., Wendt, J.D., Phillips, C.A., Wilson, T., Soundarajan, S., Bhowmick, S., & Bhowmick, S. (2020). Partitioning Communication Streams into Graph Snapshots [Presentation]. https://www.osti.gov/biblio/1782498

Wendt, J.D., Kegelmeyer, W.P., Pinar, A., Shead, T.M., Saavedra, G., Safta, C., Bertino, J., & Bertino, J. (2019). Data Analytics are Powerful -- Handle with Care [Conference Poster]. https://www.osti.gov/biblio/1642746

Wilson, T.E., Wendt, J.D., & Wendt, J.D. (2019). Modeling Temporal Graph Data:Breaking the Stationary Assumption [Presentation]. https://www.osti.gov/biblio/1807079

Kegelmeyer, W.P., Wendt, J.D., Safta, C., & Safta, C. (2019). An Overview of Training Data Security Vulnerabilities: Machine Learning is a Leaky Black Box [Presentation]. https://www.osti.gov/biblio/1645394

Kegelmeyer, W.P., Wendt, J.D., Safta, C., & Safta, C. (2019). An Overview of Training Data Security Vulnerabilities: Machine Learning is a Leaky Black Box [Conference Poster]. https://www.osti.gov/biblio/1601093

Laishram, R., Wendt, J.D., Soundarajan, S., & Soundarajan, S. (2019). Crawling the Community Structure of Multiplex Networks [Conference Poster]. https://doi.org/10.1609/aaai.v33i01.3301168

Laishram, R., Wendt, J.D., Soundarajan, S., & Soundarajan, S. (2019). Crawling the community structure of multiplex networks [Conference Poster]. 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. https://doi.org/10.1609/aaai.v33i01.3301168

Bachman, W.B., Goldflam, M., Ruiz, I., Howell, S., Wendt, J.D., Anderson, E.R., Coon, W., Fortune, T., Hawkins, S.D., Finnegan, P.S., Kadlec, C.N., Webster, P., Shaner, E.A., Klem, J.F., Kim, J.K., Peters, D., & Peters, D. (2018). Low-Voltage LWIR Tunable Transmission Filters Leveraging Graphene Plasmons [Conference Poster]. https://www.osti.gov/biblio/1576889

Laishram, R., Wendt, J.D., Soundarajan, S., & Soundarajan, S. (2018). Crawling the Community Structure of Multiplex Networks [Conference Poster]. https://doi.org/10.1609/aaai.v33i01.3301168

Laishram, R., Wendt, J.D., Soundarajan, S., & Soundarajan, S. (2018). Crawling the Community Structure of Multiplex Networks [Conference Poster]. https://doi.org/10.1609/aaai.v33i01.3301168

Kegelmeyer, W.P., Wendt, J.D., Pinar, A., & Pinar, A. (2018). An Example of Counter-Adversarial Community Detection Analysis. https://doi.org/10.2172/1481570

Field, R.V., Link, H.E., Skryzalin, J., Wendt, J.D., & Wendt, J.D. (2018). A dynamic model for social networks. https://doi.org/10.2172/1472229

Skryzalin, J., Link, H.E., Field, R.V., Wendt, J.D., & Wendt, J.D. (2018). Efficient transfer learning for neural network language models [Conference Poster]. https://doi.org/10.1109/ASONAM.2018.8508304

Skryzalin, J., Link, H.E., Wendt, J.D., Field, R.V., Richter, S.N., & Richter, S.N. (2018). Efficient transfer learning for neural network language models [Conference Poster]. https://doi.org/10.1109/ASONAM.2018.8508304

Kegelmeyer, W.P., Wendt, J.D., Pinar, A., Anderson-Bergman, C.I., & Anderson-Bergman, C.I. (2018). Counter-Adversarial Node Labeling [Conference Poster]. https://www.osti.gov/biblio/1498446

Kegelmeyer, W.P., Wendt, J.D., Pinar, A., Altenburger, K., & Altenburger, K. (2017). Counter Adversarial Graph Analytics [Conference Poster]. https://www.osti.gov/biblio/1480222

Anderson-Bergman, C.I., Kegelmeyer, W.P., Pinar, A., Wendt, J.D., & Wendt, J.D. (2017). Generating Network Graphs for CAGA [Conference Poster]. https://www.osti.gov/biblio/1464726

Link, H.E., Wendt, J.D., Field, R.V., Keil, J.M., & Keil, J.M. (2017). Estimating users’ mode transition functions and activity levels from social media [Conference Poster]. Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017. https://doi.org/10.1145/3110025.3116195

Field, R.V., Cruz, G.J., Quach, T.T., Wendt, J.D., & Wendt, J.D. (2017). Modeling Information Spread Through Large Networks [Presentation]. https://www.osti.gov/biblio/1460272

Altenburger, K.M., Kegelmeyer, W.P., Pinar, A., Wendt, J.D., & Wendt, J.D. (2017). A Community and Node Attribute-Corrected Stochastic Blockmodel [Conference Poster]. https://www.osti.gov/biblio/1648676