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ORCIDHyrum S. Anderson
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- affiliation: Robust Intelligence
- affiliation (PhD): University of Washington, USA
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2020 – today
- 2024
[j5]Sagar Samtani
, Edward Raff, Hyrum S. Anderson:
Applied Machine Learning for Information Security. DTRAP 5(1): 1:1-1:5 (2024)- [j4]Mayana Pereira, Rahul Dodhia, Hyrum S. Anderson, Richard Brown:
Metadata-Based Detection of Child Sexual Abuse Material. IEEE Trans. Dependable Secur. Comput. 21(4): 3153-3164 (2024) - [c17]Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum S. Anderson, Yaron Singer, Amin Karbasi:
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically. NeurIPS 2024 - [c16]Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo, Daniel Paleka, Will Pearce, Hyrum S. Anderson, Andreas Terzis, Kurt Thomas, Florian Tramèr:
Poisoning Web-Scale Training Datasets is Practical. SP 2024: 407-425 - [i14]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, Ashley Shen, Ali Sunyaev, Tim Wadwha-Brown, Isabel Wagner, Gang Wang:
SoK: On the Offensive Potential of AI. CoRR abs/2412.18442 (2024) - 2023
- [c15]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: 339-364 - [i13]Elizabeth M. Merkhofer, Deepesh Chaudhari, Hyrum S. Anderson, Keith Manville, Lily Wong, João Gante:
Machine Learning Model Attribution Challenge. CoRR abs/2302.06716 (2023) - [i12]Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo, Daniel Paleka, Will Pearce, Hyrum S. Anderson, Andreas Terzis, Kurt Thomas, Florian Tramèr:
Poisoning Web-Scale Training Datasets is Practical. CoRR abs/2302.10149 (2023) - [i11]Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum S. Anderson, Yaron Singer, Amin Karbasi:
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically. CoRR abs/2312.02119 (2023) - 2022
- [i10]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 abs/2212.14315 (2022) - 2021
- [c14]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: 9386-9394 - 2020
- [c13]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: 71-82 - [i9]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 abs/2009.03779 (2020) - [i8]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 abs/2012.09390 (2020)
2010 – 2019
- 2019
- [i7]Edward Raff, William Fleming, Richard Zak, Hyrum S. Anderson, Bill Finlayson, Charles Nicholas, Mark McLean:
KiloGrams: Very Large N-Grams for Malware Classification. CoRR abs/1908.00200 (2019) - 2018
- [c12]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: 22-28 - [i6]Hyrum S. Anderson, Anant Kharkar, Bobby Filar, David Evans, Phil Roth:
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning. CoRR abs/1801.08917 (2018) - [i5]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 abs/1802.07228 (2018) - [i4]Hyrum S. Anderson, Phil Roth:
EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models. CoRR abs/1804.04637 (2018) - [i3]Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja, Daniel Grant:
Detecting Homoglyph Attacks with a Siamese Neural Network. CoRR abs/1805.09738 (2018) - 2016
- [c11]Hyrum S. Anderson, Jonathan Woodbridge, Bobby Filar:
DeepDGA: Adversarially-Tuned Domain Generation and Detection. AISec@CCS 2016: 13-21 - [i2]Hyrum S. Anderson, Jonathan Woodbridge, Bobby Filar:
DeepDGA: Adversarially-Tuned Domain Generation and Detection. CoRR abs/1610.01969 (2016) - [i1]Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja, Daniel Grant:
Predicting Domain Generation Algorithms with Long Short-Term Memory Networks. CoRR abs/1611.00791 (2016) - 2014
- [c10]Jake Gunther, Josh Hunsaker, Hyrum S. Anderson, Todd K. Moon:
Sparse reconstruction of equivalence classes of moving targets using single-channel synthetic aperture radar. ICASSP 2014: 3943-3947 - 2013
- [j3]Nathan Parrish, Hyrum S. Anderson, Maya R. Gupta, Dun-Yu Hsiao:
Classifying with confidence from incomplete information. J. Mach. Learn. Res. 14(1): 3561-3589 (2013) - [c9]Hyrum S. Anderson, Jovana Ilic-Helms, Brandon Rohrer, Jason W. Wheeler, Kurt W. Larson:
Sparse imaging for fast electron microscopy. Computational Imaging 2013: 86570C - 2012
- [c8]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: 82960S - [c7]Hyrum S. Anderson, Nathan Parrish, Kristi Tsukida, Maya R. Gupta:
Reliable early classification of time series. ICASSP 2012: 2073-2076 - 2011
- [j2]Hyrum S. Anderson, Maya R. Gupta, Eric Swanson, Kevin G. Jamieson:
Channel-Robust Classifiers. IEEE Trans. Signal Process. 59(4): 1421-1434 (2011) - 2010
- [c6]Nathan Parrish, Hyrum S. Anderson, Maya R. Gupta:
Robust sequential classification of tracks. FUSION 2010: 1-8 - [c5]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: 2214-2217
2000 – 2009
- 2009
- [c4]Hyrum S. Anderson, Maya R. Gupta:
Joint deconvolution and imaging. Computational Imaging 2009: 72460 - 2007
- [c3]Maya R. Gupta, Hyrum S. Anderson, Yihua Chen:
Joint Deconvolution and Classification for Signals with Multipath. ICASSP (3) 2007: 1069-1072 - 2006
- [c2]Peter L. Cho, Hyrum S. Anderson, Robert Hatch, Prem Ramaswami:
Real-Time 3D Ladar Imaging. AIPR 2006: 5 - 2005
- [j1]Hyrum S. Anderson, David G. Long:
Sea ice mapping method for SeaWinds. IEEE Trans. Geosci. Remote. Sens. 43(3): 647-657 (2005) - 2003
- [c1]Hyrum S. Anderson, David G. Long:
Polar sea ice mapping using SeaWinds data. IGARSS 2003: 71-73
Coauthor Index
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