Hyrum S. Anderson

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 16

Top Topics

Character N Grams

Malicious Activities

Machine Learning

Malware Detection

Top Venues

IEEE Symposium on Security and Privacy Workshops

Publications

Elizabeth M. Merkhofer, Deepesh Chaudhari, Hyrum S. Anderson, Keith Manville, Lily Wong, João Gante
Machine Learning Model Attribution Challenge. CoRR (2023)
Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. SaTML (2023)
Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. CoRR (2022)
Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. AAAI (2021)
Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt
Automatic Yara Rule Generation Using Biclustering. AISec@CCS (2020)
Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt
Automatic Yara Rule Generation Using Biclustering. CoRR (2020)
Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. CoRR (2020)
Edward Raff, William Fleming, Richard Zak, Hyrum S. Anderson, Bill Finlayson, Charles Nicholas, Mark McLean
KiloGrams: Very Large N-Grams for Malware Classification. CoRR (2019)
Hyrum S. Anderson, Anant Kharkar, Bobby Filar, David Evans, Phil Roth
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning. CoRR (2018)
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
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation. CoRR (2018)
Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja, Daniel Grant
Detecting Homoglyph Attacks with a Siamese Neural Network. IEEE Symposium on Security and Privacy Workshops (2018)
Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja, Daniel Grant
Detecting Homoglyph Attacks with a Siamese Neural Network. CoRR (2018)
Hyrum S. Anderson, Phil Roth
EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models. CoRR (2018)
Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja, Daniel Grant
Predicting Domain Generation Algorithms with Long Short-Term Memory Networks. CoRR (2016)
Hyrum S. Anderson, Jonathan Woodbridge, Bobby Filar
DeepDGA: Adversarially-Tuned Domain Generation and Detection. CoRR (2016)
Hyrum S. Anderson, Jonathan Woodbridge, Bobby Filar
DeepDGA: Adversarially-Tuned Domain Generation and Detection. AISec@CCS (2016)
Nathan Parrish, Hyrum S. Anderson, Maya R. Gupta, Dun-Yu Hsiao
Classifying with confidence from incomplete information. J. Mach. Learn. Res. 14 (1) (2013)
Hyrum S. Anderson, Jovana Ilic-Helms, Brandon Rohrer, Jason W. Wheeler, Kurt W. Larson
Sparse imaging for fast electron microscopy. Computational Imaging (2013)
Hyrum S. Anderson, Nathan Parrish, Kristi Tsukida, Maya R. Gupta
Reliable early classification of time series. ICASSP (2012)
Hyrum S. Anderson, Maya R. Gupta, Jon Yngve Hardeberg
Subjective evaluations of example-based, total variation, and joint regularization for image processing. Computational Imaging (2012)
Hyrum S. Anderson, Maya R. Gupta, Eric Swanson, Kevin G. Jamieson
Channel-Robust Classifiers. IEEE Trans. Signal Process. 59 (4) (2011)
Nathan Parrish, Hyrum S. Anderson, Maya R. Gupta
Robust sequential classification of tracks. FUSION (2010)
Kevin G. Jamieson, Maya R. Gupta, Eric Swanson, Hyrum S. Anderson
Training a support vector machine to classify signals in a real environment given clean training data. ICASSP (2010)
Hyrum S. Anderson, Maya R. Gupta
Joint deconvolution and imaging. Computational Imaging (2009)
Maya R. Gupta, Hyrum S. Anderson, Yihua Chen
Joint Deconvolution and Classification for Signals with Multipath. ICASSP (3) (2007)
Hyrum S. Anderson, David G. Long
Sea ice mapping method for SeaWinds. IEEE Trans. Geosci. Remote. Sens. 43 (3) (2005)
Hyrum S. Anderson, David G. Long
Polar sea ice mapping using SeaWinds data. IGARSS (2003)