Hyrum S. Anderson

According to our database, Hyrum S. Anderson authored at least 28 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Metadata-Based Detection of Child Sexual Abuse Material.

Mayana Pereira, Rahul Dodhia, Hyrum S. Anderson, Richard Brown

IEEE Trans. Dependable Secur. Comput., 2024

Applied Machine Learning for Information Security.

Sagar Samtani, Edward Raff, Hyrum S. Anderson

DTRAP, 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

Proceedings of the IEEE Symposium on Security and Privacy, 2024

2023

Tree of Attacks: Jailbreaking Black-Box LLMs Automatically.

Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum S. Anderson, Yaron Singer, Amin Karbasi

CoRR, 2023

Machine Learning Model Attribution Challenge.

Elizabeth M. Merkhofer, Deepesh Chaudhari, Hyrum S. Anderson, Keith Manville, Lily Wong, João Gante

CoRR, 2023

"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

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

2021

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Automatic Yara Rule Generation Using Biclustering.

Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt

Proceedings of the AISec@CCS 2020: Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, 2020

2019

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

2018

EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models.

Hyrum S. Anderson, Phil Roth

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, Gregory C. Allen, Jacob Steinhardt, Carrick Flynn, Seán Ó hÉigeartaigh, Simon Beard, Haydn Belfield, Sebastian Farquhar, Clare Lyle, Rebecca Crootof, Owain Evans, Michael Page, Joanna Bryson, Roman Yampolskiy, Dario Amodei

CoRR, 2018

Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning.

Hyrum S. Anderson, Anant Kharkar, Bobby Filar, David Evans, Phil Roth

CoRR, 2018

Detecting Homoglyph Attacks with a Siamese Neural Network.

Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja, Daniel Grant

Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

2016

Predicting Domain Generation Algorithms with Long Short-Term Memory Networks.

Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja, Daniel Grant

CoRR, 2016

DeepDGA: Adversarially-Tuned Domain Generation and Detection.

Hyrum S. Anderson, Jonathan Woodbridge, Bobby Filar

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security, 2016

2014

Sparse reconstruction of equivalence classes of moving targets using single-channel synthetic aperture radar.

Jake Gunther, Josh Hunsaker, Hyrum S. Anderson, Todd K. Moon

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Classifying with confidence from incomplete information.

Nathan Parrish, Hyrum S. Anderson, Maya R. Gupta, Dun-Yu Hsiao

J. Mach. Learn. Res., 2013

Sparse imaging for fast electron microscopy.

Hyrum S. Anderson, Jovana Ilic-Helms, Brandon Rohrer, Jason W. Wheeler, Kurt W. Larson

Proceedings of the Computational Imaging XI, 2013

2012

Reliable early classification of time series.

Hyrum S. Anderson, Nathan Parrish, Kristi Tsukida, Maya R. Gupta

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Subjective evaluations of example-based, total variation, and joint regularization for image processing.

Hyrum S. Anderson, Maya R. Gupta, Jon Yngve Hardeberg

Proceedings of the Computational Imaging X, 2012

2011

Channel-Robust Classifiers.

Hyrum S. Anderson, Maya R. Gupta, Eric Swanson, Kevin G. Jamieson

IEEE Trans. Signal Process., 2011

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

Proceedings of the IEEE International Conference on Acoustics, 2010

Robust sequential classification of tracks.

Nathan Parrish, Hyrum S. Anderson, Maya R. Gupta

Proceedings of the 13th Conference on Information Fusion, 2010

2009

Joint deconvolution and imaging.

Hyrum S. Anderson, Maya R. Gupta

Proceedings of the Computational Imaging VII, 2009

2007

Joint Deconvolution and Classification for Signals with Multipath.

Maya R. Gupta, Hyrum S. Anderson, Yihua Chen

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Real-Time 3D Ladar Imaging.

Peter L. Cho, Hyrum S. Anderson, Robert Hatch, Prem Ramaswami

Proceedings of the 35th Applied Image Pattern Recognition Workshop (AIPR 2006), 2006

2005

Sea ice mapping method for SeaWinds.

Hyrum S. Anderson, David G. Long

IEEE Trans. Geosci. Remote. Sens., 2005

2003

Polar sea ice mapping using SeaWinds data.

Hyrum S. Anderson, David G. Long

Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003