Polar sea ice mapping using SeaWinds data. - Hyrum S. Anderson; David G. Long (IGARSS, 2003)

Sea ice mapping method for SeaWinds. - Hyrum S. Anderson; David G. Long (IEEE Trans. Geosci. Remote. Sens., 2005)

Real-Time 3D Ladar Imaging. - Peter L. Cho; Hyrum S. Anderson; Robert Hatch; Prem Ramaswami (AIPR, 2006)

Joint Deconvolution and Classification for Signals with Multipath. - Maya R. Gupta; Hyrum S. Anderson; Yihua Chen 003 (ICASSP (3), 2007)

Joint deconvolution and imaging. - Hyrum S. Anderson; Maya R. Gupta (Computational Imaging, 2009)

Robust sequential classification of tracks. - Nathan Parrish; Hyrum S. Anderson; Maya R. Gupta (FUSION, 2010)

Training a support vector machine to classify signals in a real environment given clean training data. - Kevin G. Jamieson; Maya R. Gupta; Eric Swanson; Hyrum S. Anderson (ICASSP, 2010)

Channel-Robust Classifiers. - Hyrum S. Anderson; Maya R. Gupta; Eric Swanson; Kevin G. Jamieson (IEEE Trans. Signal Process., 2011)

Subjective evaluations of example-based, total variation, and joint regularization for image processing. - Hyrum S. Anderson; Maya R. Gupta; Jon Yngve Hardeberg (Computational Imaging, 2012)

Reliable early classification of time series. - Hyrum S. Anderson; Nathan Parrish; Kristi Tsukida; Maya R. Gupta (ICASSP, 2012)

Sparse imaging for fast electron microscopy. - Hyrum S. Anderson; Jovana Ilic-Helms; Brandon Rohrer; Jason W. Wheeler; Kurt W. Larson (Computational Imaging, 2013)

Classifying with confidence from incomplete information. - Nathan Parrish; Hyrum S. Anderson; Maya R. Gupta; Dun-Yu Hsiao (J. Mach. Learn. Res., 2013)

Sparse reconstruction of equivalence classes of moving targets using single-channel synthetic aperture radar. - Jake Gunther; Josh Hunsaker; Hyrum S. Anderson; Todd K. Moon (ICASSP, 2014)

DeepDGA: Adversarially-Tuned Domain Generation and Detection. - Hyrum S. Anderson; Jonathan Woodbridge; Bobby Filar (AISec@CCS, 2016)

Predicting Domain Generation Algorithms with Long Short-Term Memory Networks. - Jonathan Woodbridge; Hyrum S. Anderson; Anjum Ahuja; Daniel Grant (CoRR, 2016)

Detecting Homoglyph Attacks with a Siamese Neural Network. - Jonathan Woodbridge; Hyrum S. Anderson; Anjum Ahuja; Daniel Grant (IEEE Symposium on Security and Privacy Workshops, 2018)

Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning. - Hyrum S. Anderson; Anant Kharkar; Bobby Filar; David Evans 001; Phil Roth 002 (CoRR, 2018)

The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation. - Miles Brundage; Shahar Avin; Jack Clark; Helen Toner; Peter Eckersley; Ben Garfinkel; Allan Dafoe; Paul Scharre; Thomas Zeitzoff; Bobby Filar; Hyrum S. Anderson; Heather Roff; et al. (CoRR, 2018)

EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models. - Hyrum S. Anderson; Phil Roth 002 (CoRR, 2018)

KiloGrams: Very Large N-Grams for Malware Classification. - Edward Raff; William Fleming; Richard Zak; Hyrum S. Anderson; Bill Finlayson; Charles Nicholas; Mark McLean (CoRR, 2019)

Automatic Yara Rule Generation Using Biclustering. - Edward Raff; Richard Zak; Gary Lopez Munoz; William Fleming; Hyrum S. Anderson; Bobby Filar; Charles Nicholas; James Holt (AISec@CCS, 2020)

Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. - Edward Raff; William Fleshman; Richard Zak; Hyrum S. Anderson; Bobby Filar; Mark McLean (AAAI, 2021)

"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. - Giovanni Apruzzese; Hyrum S. Anderson; Savino Dambra; David Freeman; Fabio Pierazzi; Kevin A. Roundy (SaTML, 2023)

Machine Learning Model Attribution Challenge. - Elizabeth M. Merkhofer; Deepesh Chaudhari; Hyrum S. Anderson; Keith Manville; Lily Wong; João Gante (CoRR, 2023)

Tree of Attacks: Jailbreaking Black-Box LLMs Automatically. - Anay Mehrotra; Manolis Zampetakis; Paul Kassianik; Blaine Nelson; Hyrum S. Anderson; Yaron Singer; Amin Karbasi (NeurIPS, 2024)

Poisoning Web-Scale Training Datasets is Practical. - Nicholas Carlini; Matthew Jagielski; Christopher A. Choquette-Choo; Daniel Paleka; Will Pearce; Hyrum S. Anderson; Andreas Terzis; Kurt Thomas; Florian Tramèr (SP, 2024)

Applied Machine Learning for Information Security. - Sagar Samtani; Edward Raff; Hyrum S. Anderson (DTRAP, 2024)

Metadata-Based Detection of Child Sexual Abuse Material. - Mayana Pereira; Rahul Dodhia; Hyrum S. Anderson; Richard Brown (IEEE Trans. Dependable Secur. Comput., 2024)

SoK: On the Offensive Potential of AI. - Saskia Laura Schröer; Giovanni Apruzzese; Soheil Human; Pavel Laskov; Hyrum S. Anderson; Edward W. N. Bernroider; Aurore Fass; Ben Nassi; Vera Rimmer; Fabio Roli; Samer Salam; Chi En Ashley Shen; et al. (SaTML, 2025)

Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report. - Paul Kassianik; Baturay Saglam; Alexander Chen; Blaine Nelson; Anu Vellore; Massimo Aufiero; Fraser Burch; Dhruv Kedia; Avi Zohary; Sajana Weerawardhena; Aman Priyanshu; Adam Swanda; et al. (CoRR, 2025)

EMBER2024 - A Benchmark Dataset for Holistic Evaluation of Malware Classifiers. - Robert J. Joyce; Gideon Miller; Phil Roth 002; Richard Zak; Elliott Zaresky-Williams; Hyrum S. Anderson; Edward Raff; James Holt (CoRR, 2025)