Hyrum S. Anderson

40 papers A* 3C 2Misc 3Journal 21Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	EMBER2024 - A Benchmark Dataset for Holistic Evaluation of Malware Classifiers. KDD (2) Robert J. Joyce, Gideon Miller, Phil Roth, Richard Zak, Elliott Zaresky-Williams, Hyrum S. Anderson, Edward Raff, James Holt
2025	J	`jnl`	EMBER2024 - A Benchmark Dataset for Holistic Evaluation of Malware Classifiers. CoRR Robert J. Joyce, Gideon Miller, Phil Roth, Richard Zak, Elliott Zaresky-Williams, Hyrum S. Anderson, Edward Raff, James Holt
2025	J	`jnl`	Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report. CoRR Paul Kassianik, Baturay Saglam, Alexander Chen, Blaine Nelson, Anu Vellore, Massimo Aufiero, Fraser Burch, Dhruv Kedia, Avi Zohary, Sajana Weerawardhena, Aman Priyanshu, Adam Swanda, Amy Chang, Hyrum S. Anderson, Kojin Oshiba, Omar Santos, Yaron Singer, Amin Karbasi
2025	—	`conf`	SoK: On the Offensive Potential of AI. SaTML 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, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang
2024	J	`jnl`	Applied Machine Learning for Information Security. DTRAP Sagar Samtani, Edward Raff, Hyrum S. Anderson
2024	J	`jnl`	Metadata-Based Detection of Child Sexual Abuse Material. IEEE Trans. Dependable Secur. Comput. Mayana Pereira, Rahul Dodhia, Hyrum S. Anderson, Richard Brown
2024	A*	`conf`	Poisoning Web-Scale Training Datasets is Practical. SP Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo, Daniel Paleka, Will Pearce, Hyrum S. Anderson, Andreas Terzis, Kurt Thomas, Florian Tramèr
2024	J	`jnl`	SoK: On the Offensive Potential of AI. CoRR 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 Wadhwa-Brown, Isabel Wagner, Gang Wang
2024	A*	`conf`	Tree of Attacks: Jailbreaking Black-Box LLMs Automatically. NeurIPS Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum S. Anderson, Yaron Singer, Amin Karbasi
2023	—	`conf`	"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. SaTML Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy
2023	J	`jnl`	Machine Learning Model Attribution Challenge. CoRR Elizabeth M. Merkhofer, Deepesh Chaudhari, Hyrum S. Anderson, Keith Manville, Lily Wong, João Gante
2023	J	`jnl`	Poisoning Web-Scale Training Datasets is Practical. CoRR Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo, Daniel Paleka, Will Pearce, Hyrum S. Anderson, Andreas Terzis, Kurt Thomas, Florian Tramèr
2023	J	`jnl`	Tree of Attacks: Jailbreaking Black-Box LLMs Automatically. CoRR Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum S. Anderson, Yaron Singer, Amin Karbasi
2022	J	`jnl`	"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. CoRR Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy
2021	A*	`conf`	Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. AAAI Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean
2020	—	`conf`	Automatic Yara Rule Generation Using Biclustering. AISec@CCS Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt
2020	J	`jnl`	Automatic Yara Rule Generation Using Biclustering. CoRR Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt
2020	J	`jnl`	Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. CoRR Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean
2019	J	`jnl`	KiloGrams: Very Large N-Grams for Malware Classification. CoRR Edward Raff, William Fleming, Richard Zak, Hyrum S. Anderson, Bill Finlayson, Charles Nicholas, Mark McLean
2018	—	`conf`	Detecting Homoglyph Attacks with a Siamese Neural Network. IEEE Symposium on Security and Privacy Workshops Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja, Daniel Grant
2018	J	`jnl`	Detecting Homoglyph Attacks with a Siamese Neural Network. CoRR Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja, Daniel Grant
2018	J	`jnl`	EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models. CoRR Hyrum S. Anderson, Phil Roth
2018	J	`jnl`	Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning. CoRR Hyrum S. Anderson, Anant Kharkar, Bobby Filar, David Evans, Phil Roth
2018	J	`jnl`	The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation. CoRR 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
2016	—	`conf`	DeepDGA: Adversarially-Tuned Domain Generation and Detection. AISec@CCS Hyrum S. Anderson, Jonathan Woodbridge, Bobby Filar
2016	J	`jnl`	DeepDGA: Adversarially-Tuned Domain Generation and Detection. CoRR Hyrum S. Anderson, Jonathan Woodbridge, Bobby Filar
2016	J	`jnl`	Predicting Domain Generation Algorithms with Long Short-Term Memory Networks. CoRR Jonathan Woodbridge, Hyrum S. Anderson, Anjum Ahuja, Daniel Grant
2014	Misc	`conf`	Sparse reconstruction of equivalence classes of moving targets using single-channel synthetic aperture radar. ICASSP Jake Gunther, Josh Hunsaker, Hyrum S. Anderson, Todd K. Moon
2013	J	`jnl`	Classifying with confidence from incomplete information. J. Mach. Learn. Res. Nathan Parrish, Hyrum S. Anderson, Maya R. Gupta, Dun-Yu Hsiao
2013	—	`conf`	Sparse imaging for fast electron microscopy. Computational Imaging Hyrum S. Anderson, Jovana Ilic-Helms, Brandon Rohrer, Jason W. Wheeler, Kurt W. Larson
2012	Misc	`conf`	Reliable early classification of time series. ICASSP Hyrum S. Anderson, Nathan Parrish, Kristi Tsukida, Maya R. Gupta
2012	—	`conf`	Subjective evaluations of example-based, total variation, and joint regularization for image processing. Computational Imaging Hyrum S. Anderson, Maya R. Gupta, Jon Yngve Hardeberg
2011	J	`jnl`	Channel-Robust Classifiers. IEEE Trans. Signal Process. Hyrum S. Anderson, Maya R. Gupta, Eric Swanson, Kevin Jamieson
2010	C	`conf`	Robust sequential classification of tracks. FUSION Nathan Parrish, Hyrum S. Anderson, Maya R. Gupta
2010	Misc	`conf`	Training a support vector machine to classify signals in a real environment given clean training data. ICASSP Kevin Jamieson, Maya R. Gupta, Eric Swanson, Hyrum S. Anderson
2009	—	`conf`	Joint deconvolution and imaging. Computational Imaging Hyrum S. Anderson, Maya R. Gupta
2007	—	`conf`	Joint Deconvolution and Classification for Signals with Multipath. ICASSP (3) Maya R. Gupta, Hyrum S. Anderson, Yihua Chen
2006	—	`conf`	Real-Time 3D Ladar Imaging. AIPR Peter L. Cho, Hyrum S. Anderson, Robert Hatch, Prem Ramaswami
2005	J	`jnl`	Sea ice mapping method for SeaWinds. IEEE Trans. Geosci. Remote. Sens. Hyrum S. Anderson, David G. Long
2003	C	`conf`	Polar sea ice mapping using SeaWinds data. IGARSS Hyrum S. Anderson, David G. Long