Publications

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

Laishram, R., Wendt, J., 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). 10.1145/3451527

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

Wendt, J., Field, R.V., Phillips, C.A., Prasadan, A., Wilson, T., Soundarajan, S., Bhowmick, S., & Bhowmick, S. (2020). Partitioning Communication Streams into Graph Snapshots [Conference Presentation]. 10.2172/1842249

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

Field, R.V., Wendt, J., 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., 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., & Wendt, J. (2019). Modeling Temporal Graph Data:Breaking the Stationary Assumption [Presentation]. https://www.osti.gov/biblio/1807079

Kegelmeyer, W.P., Wendt, J., 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., 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., 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., 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. 10.1609/aaai.v33i01.3301168

Foulk, J.W., Goldflam, M., Ruiz, I., Howell, S., Wendt, J., 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., Soundarajan, S., & Soundarajan, S. (2018). Crawling the Community Structure of Multiplex Networks [Conference Poster]. 10.1609/aaai.v33i01.3301168

Laishram, R., Wendt, J., 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., Pinar, A., & Pinar, A. (2018). An Example of Counter-Adversarial Community Detection Analysis. 10.2172/1481570

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

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

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

Kegelmeyer, W.P., Wendt, J., 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., 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., & Wendt, J. (2017). Generating Network Graphs for CAGA [Conference Poster]. https://www.osti.gov/biblio/1464726

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

Link, H.E., Wendt, J., Field, R.V., Keil, J.M., & Keil, J.M. (2017). Estimating users? mode transition functions and activity levels from social media [Conference Poster]. 10.1145/3110025.3116195

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

Link, H.E., Wendt, J., Field, R.V., Keil, J.M., & Keil, J.M. (2017). Estimating users' mode transition functions and activity levels from social media [Conference Poster]. 10.1145/3110025.3116195

Kegelmeyer, W.P., Wendt, J., Pinar, A., Altenburger, K.M., & Altenburger, K.M. (2017). Counter-Adversarial Community Detection [Conference Poster]. https://www.osti.gov/biblio/1457841

Kegelmeyer, W.P., Wendt, J., Pinar, A., Altenburger, K.M., & Altenburger, K.M. (2017). Counter Adversarial Community Detection [Conference Poster]. https://www.osti.gov/biblio/1525078

Johnson, C.M., Bauer, T.L., Wendt, J., & Wendt, J. (2016). Intro to Text Analytics [Presentation]. https://www.osti.gov/biblio/1429482

Johnson, C.M., Wendt, J., & Wendt, J. (2016). Game Theory Basics and Applications [Presentation]. https://www.osti.gov/biblio/1429470

Wendt, J., Quach, T.T., Zage, D.J., Field, R.V., Wells, R., Soundarajan, S., Cruz, G.J., & Cruz, G.J. (2016). Data Inferencing on Semantic Graphs (DISeG) (Final Report). 10.2172/1562648

Wendt, J., Wells, R., Field, R.V., Soundarajan, S., & Soundarajan, S. (2016). On data collection graph construction and sampling in Twitter [Conference Poster]. 10.1109/ASONAM.2016.7752360

Wendt, J., Field, R.V., Wells, R., Soundarajan, S., & Soundarajan, S. (2016). On data collection graph construction and sampling in Twitter [Conference Poster]. 10.1109/ASONAM.2016.7752360

Soundarajan, S., Wendt, J., & Wendt, J. (2016). Workshop on Incomplete Network Data Held at Sandia National Labs – Livermore. 10.2172/1259543

Parekh, O.D., Wendt, J., Shulenburger, L., Landahl, A.J., Moussa, J.E., Aidun, J.B., & Aidun, J.B. (2016). Benchmarking Near-‐term Adiabatic Quantum Computation [Presentation]. https://www.osti.gov/biblio/1368864

Wendt, J., Field, R.V., Garcia, D., Quach, T.T., Wells, R., Zage, D.J., Phillips, C.A., Pinar, A., Soundarajan, S., & Soundarajan, S. (2016). Social-Media Network Collection Problems [Conference Poster]. https://www.osti.gov/biblio/1364805

Kegelmeyer, W.P., Wendt, J., Pinar, A., & Pinar, A. (2016). Counter-Adversarial Community Detection: Initial Investigations [Conference Poster]. https://www.osti.gov/biblio/1345107

Quach, T.T., Wendt, J., & Wendt, J. (2016). A diffusion model for maximizing influence spread in large networks [Conference Poster]. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. 10.1007/978-3-319-47880-7_7

Quach, T.T., Wendt, J., & Wendt, J. (2016). A diffusion model for maximizing influence spread in large networks [Conference Poster]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-319-47880-7_7

Parekh, O.D., Wendt, J., Shulenburger, L., Landahl, A.J., Moussa, J.E., Aidun, J.B., & Aidun, J.B. (2015). Benchmarking Adiabatic Quantum Optimization for Complex Network Analysis. 10.2172/1459086

Davis, W.L., Dixon, K.R., Martin, N., Wendt, J., & Wendt, J. (2013). Incremental learning for automated knowledge capture. 10.2172/1121921

Parekh, O.D., Aidun, J.B., Dubicka, I., Landahl, A.J., Shulenburger, L., Tigges, C.P., Wendt, J., & Wendt, J. (2013). Evaluating Near-Term Adiabatic Quantum Computing. 10.2172/1465512

Wendt, J. (2013). Omen: identifying potential spear-phishing targets before the email is sent. 10.2172/1093687

Wendt, J., Whitton, M.C., Adalsteinsson, D., Brooks, F.P., & Brooks, F.P. (2012). Reliable forward walking parameters from head-track data alone [Conference]. Proceedings - IEEE Virtual Reality. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84860761404&origin=inward

Wendt, J. (2012). Identifying Dynamic Patterns in Network Traffic to Predict and Mitigate Cyberattacks [Conference]. https://www.osti.gov/biblio/1067616

Wendt, J. (2011). Reliable Forward Walking Parameters from Head-Track Data Alone [Conference]. https://www.osti.gov/biblio/1143443

Wendt, J., Guise, M.J., & Guise, M.J. (2010). Trusted Computing Technologies, Intel Trusted Execution Technology. 10.2172/1011228