John T. Holodnak

17 papers A* 1A 1Misc 1Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Model-agnostic clean-label backdoor mitigation in cybersecurity environments.
MILCOM
Giorgio Severi, Simona Boboila, John T. Holodnak, Kendra Kratkiewicz, Rauf Izmailov, Michael J. De Lucia, Alina Oprea
2024 J jnl
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification.
IEEE Trans. Artif. Intell.
Steven Jorgensen, John T. Holodnak, Jensen Dempsey, Karla de Souza, Ananditha Raghunath, Vernon Rivet, Noah Demoes, Andrés Alejos, Allan B. Wollaber
2024 J jnl
Model-agnostic clean-label backdoor mitigation in cybersecurity environments.
CoRR
Giorgio Severi, Simona Boboila, John T. Holodnak, Kendra Kratkiewicz, Rauf Izmailov, Alina Oprea
2023 A conf
Poisoning Network Flow Classifiers.
ACSAC
Giorgio Severi, Simona Boboila, Alina Oprea, John T. Holodnak, Kendra Kratkiewicz, Jason Matterer
2023 J jnl
Poisoning Network Flow Classifiers.
CoRR
Giorgio Severi, Simona Boboila, Alina Oprea, John T. Holodnak, Kendra Kratkiewicz, Jason Matterer
2023 — conf
ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems.
IEEE VIS (Short Papers)
Harry X. Li, Steven Jorgensen, John T. Holodnak, Allan B. Wollaber
2023 J jnl
ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems.
CoRR
Harry X. Li, Steven Jorgensen, John T. Holodnak, Allan B. Wollaber
2022 A* conf
AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications.
HPCA
Baolin Li, Rohin Arora, Siddharth Samsi, Tirthak Patel, William Arcand, David Bestor, Chansup Byun, Rohan Basu Roy, Bill Bergeron, John T. Holodnak, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Peter Michaleas, Joseph McDonald, Lauren Milechin, Julie Mullen, Andrew Prout, Benjamin Price, Albert Reuther, Antonio Rosa, Matthew L. Weiss, Charles Yee, Daniel Edelman, Allan Vanterpool, Anson Cheng, Vijay Gadepally, Devesh Tiwari
2022 — conf
Backdoor Poisoning of Encrypted Traffic Classifiers.
ICDM (Workshops)
John T. Holodnak, Olivia M. Brown, Jason Matterer, Andrew Lemke
2022 J jnl
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification.
CoRR
Steven Jorgensen, John T. Holodnak, Jensen Dempsey, Karla de Souza, Ananditha Raghunath, Vernon Rivet, Noah Demoes, Andrés Alejos, Allan B. Wollaber
2021 J jnl
On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks.
CoRR
John T. Holodnak, Allan B. Wollaber
2019 Misc conf
An Empirical Evaluation of the Effect of Adversarial Labels on Classifier Accuracy Estimation.
FLAIRS
Alexandra Clifford, Cassian Corey, John T. Holodnak
2018 J jnl
A Probabilistic Subspace Bound with Application to Active Subspaces.
SIAM J. Matrix Anal. Appl.
John T. Holodnak, Ilse C. F. Ipsen, Ralph C. Smith
2016 — conf
A Model-Based Approach to Predicting the Performance of Insider Threat Detection Systems.
IEEE Symposium on Security and Privacy Workshops
Shannon C. Roberts, John T. Holodnak, Trang Nguyen, Sophia Yuditskaya, Maja Milosavljevic, William W. Streilein
2015 J jnl
Conditioning of Leverage Scores and Computation by QR Decomposition.
SIAM J. Matrix Anal. Appl.
John T. Holodnak, Ilse C. F. Ipsen, Thomas Wentworth
2015 J jnl
Randomized Approximation of the Gram Matrix: Exact Computation and Probabilistic Bounds.
SIAM J. Matrix Anal. Appl.
John T. Holodnak, Ilse C. F. Ipsen
2013 J jnl
Randomized Matrix Multiplication: Exact Computation and Probabilistic Bounds.
CoRR
John T. Holodnak, Ilse C. F. Ipsen