John T. Holodnak

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 12

Top Topics

Multiclass Learning

Network Traffic

Randomized Approximation

Top Venues

SIAM J. Matrix Anal. Appl.

IEEE Symposium on Security and Privacy Workshops

IEEE Trans. Artif. Intell.

Publications

Giorgio Severi, Simona Boboila, John T. Holodnak, Kendra Kratkiewicz, Rauf Izmailov, Alina Oprea
Model-agnostic clean-label backdoor mitigation in cybersecurity environments. CoRR (2024)
Steven Jorgensen, John T. Holodnak, Jensen Dempsey, Karla de Souza, Ananditha Raghunath, Vernon Rivet, Noah Demoes, Andrés Alejos, Allan B. Wollaber
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification. IEEE Trans. Artif. Intell. 5 (1) (2024)
Harry X. Li, Steven Jorgensen, John T. Holodnak, Allan B. Wollaber
ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems. IEEE VIS (Short Papers) (2023)
Giorgio Severi, Simona Boboila, Alina Oprea, John T. Holodnak, Kendra Kratkiewicz, Jason Matterer
Poisoning Network Flow Classifiers. ACSAC (2023)
Harry Li, Steven Jorgensen, John T. Holodnak, Allan B. Wollaber
ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems. CoRR (2023)
Giorgio Severi, Simona Boboila, Alina Oprea, John T. Holodnak, Kendra Kratkiewicz, Jason Matterer
Poisoning Network Flow Classifiers. CoRR (2023)
Steven Jorgensen, John T. Holodnak, Jensen Dempsey, Karla de Souza, Ananditha Raghunath, Vernon Rivet, Noah Demoes, Andrés Alejos, Allan B. Wollaber
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification. CoRR (2022)
John T. Holodnak, Olivia M. Brown, Jason Matterer, Andrew Lemke
Backdoor Poisoning of Encrypted Traffic Classifiers. ICDM (Workshops) (2022)
John T. Holodnak, Allan B. Wollaber
On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks. CoRR (2021)
Alexandra Clifford, Cassian Corey, John T. Holodnak
An Empirical Evaluation of the Effect of Adversarial Labels on Classifier Accuracy Estimation. FLAIRS Conference (2019)
John T. Holodnak, Ilse C. F. Ipsen, Ralph C. Smith
A Probabilistic Subspace Bound with Application to Active Subspaces. SIAM J. Matrix Anal. Appl. 39 (3) (2018)
Shannon C. Roberts, John T. Holodnak, Trang Nguyen, Sophia Yuditskaya, Maja Milosavljevic, William W. Streilein
A Model-Based Approach to Predicting the Performance of Insider Threat Detection Systems. IEEE Symposium on Security and Privacy Workshops (2016)
John T. Holodnak, Ilse C. F. Ipsen, Thomas Wentworth
Conditioning of Leverage Scores and Computation by QR Decomposition. SIAM J. Matrix Anal. Appl. 36 (3) (2015)
John T. Holodnak, Ilse C. F. Ipsen
Randomized Approximation of the Gram Matrix: Exact Computation and Probabilistic Bounds. SIAM J. Matrix Anal. Appl. 36 (1) (2015)
John T. Holodnak, Ilse C. F. Ipsen
Randomized Matrix Multiplication: Exact Computation and Probabilistic Bounds. CoRR (2013)