James Holt

78 papers A* 12A 3B 5Journal 41Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Vector Symbolic Approach to Multiple Instance Learning.
CoRR
Ehsan Ahmed Dhrubo, Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt
2025 — conf
ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling.
WWW (Companion Volume)
Robert J. Joyce, Derek Everett, Maya Fuchs, Edward Raff, James Holt
2025 J jnl
ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling.
CoRR
Robert J. Joyce, Derek Everett, Maya Fuchs, Edward Raff, James Holt
2025 A* conf
Disassembly as Weighted Interval Scheduling with Learned Weights.
SP
Antonio Flores-Montoya, Junghee Lim, Adam Seitz, Akshay Sood, Edward Raff, James Holt
2025 J jnl
Disassembly as Weighted Interval Scheduling with Learned Weights.
CoRR
Antonio Flores-Montoya, Junghee Lim, Adam Seitz, Akshay Sood, Edward Raff, James Holt
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
Graph-Based Re-ranking: Emerging Techniques, Limitations, and Opportunities.
CoRR
Md Shahir Zaoad, Niamat Zawad, Priyanka Ranade, Richard Krogman, Latifur Khan, James Holt
2025 — conf
Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification.
ECML/PKDD (5)
Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
2025 — conf
Quick Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms.
KDD (2)
Derek Everett, Fred Lu, Edward Raff, Fernando Camacho, James Holt
2025 J jnl
Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms.
CoRR
Derek Everett, Fred Lu, Edward Raff, Fernando Camacho, James Holt
2025 A conf
Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora.
CIKM
Edward Raff, Ryan R. Curtin, Derek Everett, Robert J. Joyce, James Holt
2025 J jnl
Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora.
CoRR
Edward Raff, Ryan R. Curtin, Derek Everett, Robert J. Joyce, James Holt
2024 A* conf
A Walsh Hadamard Derived Linear Vector Symbolic Architecture.
NeurIPS
Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt
2024 J jnl
A Walsh Hadamard Derived Linear Vector Symbolic Architecture.
CoRR
Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt
2024 A* conf
Assemblage: Automatic Binary Dataset Construction for Machine Learning.
NeurIPS
Chang Liu, Rebecca Saul, Yihao Sun, Edward Raff, Maya Fuchs, Townsend Southard Pantano, James Holt, Kristopher K. Micinski
2024 J jnl
Assemblage: Automatic Binary Dataset Construction for Machine Learning.
CoRR
Chang Liu, Rebecca Saul, Yihao Sun, Edward Raff, Maya Fuchs, Townsend Southard Pantano, James Holt, Kristopher K. Micinski
2024 J jnl
Efficient Malware Analysis Using Metric Embeddings.
DTRAP
Ethan M. Rudd, David Krisiloff, Scott E. Coull, Daniel Olszewski, Edward Raff, James Holt
2024 A* conf
High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates.
KDD
Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
2024 J jnl
High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates.
CoRR
Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
2024 A conf
Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection.
AISTATS
Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
2024 J jnl
Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection.
CoRR
Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
2024 A* conf
Is Function Similarity Over-Engineered? Building a Benchmark.
NeurIPS
Rebecca Saul, Chang Liu, Noah Fleischmann, Richard Zak, Kristopher K. Micinski, Edward Raff, James Holt
2024 J jnl
Is Function Similarity Over-Engineered? Building a Benchmark.
CoRR
Rebecca Saul, Chang Liu, Noah Fleischmann, Richard Zak, Kristopher K. Micinski, Edward Raff, James Holt
2024 B conf
Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection.
IEEE Big Data
Siddhant Gupta, Fred Lu, Andrew Barlow, Edward Raff, Francis Ferraro, Cynthia Matuszek, Charles Nicholas, James Holt
2024 J jnl
Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection.
CoRR
Siddhant Gupta, Fred Lu, Andrew Barlow, Edward Raff, Francis Ferraro, Cynthia Matuszek, Charles Nicholas, James Holt
2024 J jnl
Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification.
CoRR
Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
2024 A* conf
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling.
NeurIPS
Skyler Wu, Fred Lu, Edward Raff, James Holt
2024 J jnl
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling.
CoRR
Skyler Wu, Fred Lu, Edward Raff, James Holt
2023 A* conf
A Coreset Learning Reality Check.
AAAI
Fred Lu, Edward Raff, James Holt
2023 J jnl
A Coreset Learning Reality Check.
CoRR
Fred Lu, Edward Raff, James Holt
2023 A conf
An Easy Rejection Sampling Baseline via Gradient Refined Proposals.
ECAI
Edward Raff, Mark McLean, James Holt
2023 J jnl
Exploring the Sharpened Cosine Similarity.
CoRR
Skyler Wu, Fred Lu, Edward Raff, James Holt
2023 — conf
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers.
CAMLIS
Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt
2023 J jnl
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers.
CoRR
Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt
2023 — conf
Marvolo: Programmatic Data Augmentation for Deep Malware Detection.
ECML/PKDD (1)
Mike Wong, Edward Raff, James Holt, Ravi Netravali
2023 A* conf
Recasting Self-Attention with Holographic Reduced Representations.
ICML
Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
2023 J jnl
Recasting Self-Attention with Holographic Reduced Representations.
CoRR
Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
2023 A* conf
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests.
NeurIPS
Edward Raff, James Holt
2023 J jnl
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests.
CoRR
Edward Raff, James Holt
2023 — conf
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!
CAMLIS
Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
2023 J jnl
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!
CoRR
Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
2022 J jnl
Artificial Intelligence for Cyber Security (AICS).
CoRR
James Holt, Edward Raff, Ahmad Ridley, Dennis Ross, Arunesh Sinha, Diane Staheli, William Streilen, Milind Tambe, Yevgeniy Vorobeychik, Allan B. Wollaber
2022 A* conf
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations.
ICML
Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt
2022 J jnl
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations.
CoRR
Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt
2022 — conf
Efficient Malware Analysis Using Metric Embeddings.
CAMLIS
Ethan M. Rudd, David Krisiloff, Daniel Olszewski, Edward Raff, James Holt
2022 J jnl
Efficient Malware Analysis Using Metric Embeddings.
CoRR
Ethan M. Rudd, David Krisiloff, Scott E. Coull, Daniel Olszewski, Edward Raff, James Holt
2022 — conf
Lempel-Ziv Networks.
ICBINB
Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt
2022 J jnl
Lempel-Ziv Networks.
CoRR
Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt
2022 J jnl
Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection.
CoRR
Michael D. Wong, Edward Raff, James Holt, Ravi Netravali
2022 — conf
Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis?
CAMLIS
André T. Nguyen, Richard Zak, Luke E. Richards, Maya Fuchs, Fred Lu, Robert Brandon, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
2022 A* conf
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks.
AAAI
André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
2022 J jnl
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks.
CoRR
André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
2021 A* conf
Learning with Holographic Reduced Representations.
NeurIPS
Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean
2021 J jnl
Learning with Holographic Reduced Representations.
CoRR
Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean
2021 J jnl
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints.
CoRR
André T. Nguyen, Edward Raff, Charles Nicholas, James Holt
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
Creating Cybersecurity Knowledge Graphs From Malware After Action Reports.
IEEE Access
Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin, James Holt, Richard Zak
2020 — conf
Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors.
ICDM (Workshops)
Edward Raff, Bobby Filar, James Holt
2020 J jnl
Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors.
CoRR
Edward Raff, Bobby Filar, James Holt
2019 J jnl
Grand Challenge: Applying Artificial Intelligence and Machine Learning to Cybersecurity.
Computer
Kirk Bresniker, Ada Gavrilovska, James Holt, Dejan S. Milojicic, Trung Tran
2019 J jnl
RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement.
CoRR
Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi, James Holt, Richard Zak
2019 B conf
RelExt: relation extraction using deep learning approaches for cybersecurity knowledge graph improvement.
ASONAM
Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi, James Holt, Richard Zak
2018 J jnl
FMLRC: Hybrid long read error correction using an FM-index.
BMC Bioinform.
Jeremy R. Wang, James Holt, Leonard McMillan, Corbin D. Jones
2016 — —
Using the Multi-String Burrow-Wheeler transform for High-Throughput sequence Analysis.
James Holt
2015 — conf
Short read error correction using an FM-index.
BIBM
Seth Greenstein, James Holt, Leonard McMillan
2014 J jnl
A novel multi-alignment pipeline for high-throughput sequencing data.
Database J. Biol. Databases Curation
Shunping Huang, James Holt, Chia-Yu Kao, Leonard McMillan, Wei Wang
2014 J jnl
A symbiotic simulation architecture for evaluating UAVs collision avoidance techniques.
J. Simulation
James Holt, Saad Biaz, Levent Yilmaz, Chadia Affane-Aji
2014 — conf
Constructing burrows-wheeler transforms of large string collections via merging.
BCB
James Holt, Leonard McMillan
2014 J jnl
Merging of multi-string BWTs with applications.
Bioinform.
James Holt, Leonard McMillan
2014 J jnl
Unmanned Aerial System Collision Avoidance Using Artificial Potential Fields.
J. Aerosp. Inf. Syst.
Jason Ruchti, Robert Senkbeil, James Carroll, Jared Dickinson, James Holt, Saad Biaz
2013 — conf
Read Annotation Pipeline for High-Throughput Sequencing Data.
BCB
James Holt, Shunping Huang, Leonard McMillan, Wei Wang
2012 J jnl
e6500: Freescale's Low-Power, High-Performance Multithreaded Embedded Processor.
IEEE Micro
David Burgess, Edmund Gieske, James Holt, Thomas Hoy, Gary Whisenhunt
2006 B conf
Improved stride prefetching using extrinsic stream characteristics.
ISPASS
Hassan Al-Sukhni, James Holt, Daniel A. Connors
2006 — conf
Workload Slicing for Characterizing New Features in High Performance Microprocessors.
MTV
Hassan Al-Sukhni, David Lindberg, James Holt, Michele Reese
1998 B conf
Improving the PIM Routing Protocol with Adaptive Switching Mechanism between Its Two Sparse Sub-Modes.
ICCCN
James Holt, Wuxu Peng
1997 B conf
An Innovative Routing Protocol Evaluation Tool.
ICCCN
James Holt, Wuxu Peng