James Holt

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 43

Top Topics

Multiple Instance

Machine Learning

Weighted Average

Malware Detection

Top Venues

Publications

Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection. AISTATS (2024)
Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates. KDD (2024)
Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification. CoRR (2024)
Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates. CoRR (2024)
Chang Liu, Rebecca Saul, Yihao Sun, Edward Raff, Maya Fuchs, Townsend Southard Pantano, James Holt, Kristopher K. Micinski
Assemblage: Automatic Binary Dataset Construction for Machine Learning. CoRR (2024)
Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection. CoRR (2024)
Edward Raff, James Holt
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests. NeurIPS (2023)
Mike Wong, Edward Raff, James Holt, Ravi Netravali
Marvolo: Programmatic Data Augmentation for Deep Malware Detection. ECML/PKDD (1) (2023)
Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers. CoRR (2023)
Fred Lu, Edward Raff, James Holt
A Coreset Learning Reality Check. AAAI (2023)
Fred Lu, Edward Raff, James Holt
A Coreset Learning Reality Check. CoRR (2023)
Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CoRR (2023)
Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers. CAMLIS (2023)
Edward Raff, James Holt
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests. CoRR (2023)
Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CAMLIS (2023)
Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
Recasting Self-Attention with Holographic Reduced Representations. ICML (2023)
Skyler Wu, Fred Lu, Edward Raff, James Holt
Exploring the Sharpened Cosine Similarity. CoRR (2023)
Edward Raff, Mark McLean, James Holt
An Easy Rejection Sampling Baseline via Gradient Refined Proposals. ECAI (2023)
Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
Recasting Self-Attention with Holographic Reduced Representations. CoRR (2023)
Ethan M. Rudd, David Krisiloff, Scott E. Coull, Daniel Olszewski, Edward Raff, James Holt
Efficient Malware Analysis Using Metric Embeddings. CoRR (2022)
Michael D. Wong, Edward Raff, James Holt, Ravi Netravali
Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection. CoRR (2022)
Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations. ICML (2022)
Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt
Lempel-Ziv Networks. ICBINB (2022)
André T. Nguyen, Richard Zak, Luke E. Richards, Maya Fuchs, Fred Lu, Robert Brandon, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis? CAMLIS (2022)
Ethan M. Rudd, David Krisiloff, Daniel Olszewski, Edward Raff, James Holt
Efficient Malware Analysis Using Metric Embeddings. CAMLIS (2022)
James Holt, Edward Raff, Ahmad Ridley, Dennis Ross, Arunesh Sinha, Diane Staheli, William Streilen, Milind Tambe, Yevgeniy Vorobeychik, Allan B. Wollaber
Artificial Intelligence for Cyber Security (AICS). CoRR (2022)
Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations. CoRR (2022)
André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. AAAI (2022)
Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt
Lempel-Ziv Networks. CoRR (2022)
André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. CoRR (2022)
Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean
Learning with Holographic Reduced Representations. NeurIPS (2021)
André T. Nguyen, Edward Raff, Charles Nicholas, James Holt
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints. CoRR (2021)
Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean
Learning with Holographic Reduced Representations. CoRR (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, Bobby Filar, James Holt
Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors. CoRR (2020)
Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin, James Holt, Richard Zak
Creating Cybersecurity Knowledge Graphs From Malware After Action Reports. IEEE Access 8 (2020)
Edward Raff, Bobby Filar, James Holt
Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors. ICDM (Workshops) (2020)
Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi, James Holt, Richard Zak
RelExt: relation extraction using deep learning approaches for cybersecurity knowledge graph improvement. ASONAM (2019)
Aditya Pingle, Aritran Piplai, Sudip Mittal, Anupam Joshi, James Holt, Richard Zak
RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement. CoRR (2019)
Kirk Bresniker, Ada Gavrilovska, James Holt, Dejan S. Milojicic, Trung Tran
Grand Challenge: Applying Artificial Intelligence and Machine Learning to Cybersecurity. Computer 52 (12) (2019)
Jeremy R. Wang, James Holt, Leonard McMillan, Corbin D. Jones
FMLRC: Hybrid long read error correction using an FM-index. BMC Bioinform. 19 (1) (2018)
Seth Greenstein, James Holt, Leonard McMillan
Short read error correction using an FM-index. BIBM (2015)
James Holt, Leonard McMillan
Constructing burrows-wheeler transforms of large string collections via merging. BCB (2014)
Shunping Huang, James Holt, Chia-Yu Kao, Leonard McMillan, Wei Wang
A novel multi-alignment pipeline for high-throughput sequencing data. Database J. Biol. Databases Curation 2014 (2014)
Jason Ruchti, Robert Senkbeil, James Carroll, Jared Dickinson, James Holt, Saad Biaz
Unmanned Aerial System Collision Avoidance Using Artificial Potential Fields. J. Aerosp. Inf. Syst. 11 (3) (2014)
James Holt, Saad Biaz, Levent Yilmaz, Chadia Affane-Aji
A symbiotic simulation architecture for evaluating UAVs collision avoidance techniques. J. Simulation 8 (1) (2014)
James Holt, Leonard McMillan
Merging of multi-string BWTs with applications. Bioinform. 30 (24) (2014)
James Holt, Shunping Huang, Leonard McMillan, Wei Wang
Read Annotation Pipeline for High-Throughput Sequencing Data. BCB (2013)
David Burgess, Edmund Gieske, James Holt, Thomas Hoy, Gary Whisenhunt
e6500: Freescale's Low-Power, High-Performance Multithreaded Embedded Processor. IEEE Micro 32 (5) (2012)
Hassan Al-Sukhni, David Lindberg, James Holt, Michele Reese
Workload Slicing for Characterizing New Features in High Performance Microprocessors. MTV (2006)
Hassan Al-Sukhni, James Holt, Daniel A. Connors
Improved stride prefetching using extrinsic stream characteristics. ISPASS (2006)
James Holt, Wuxu Peng
Improving the PIM Routing Protocol with Adaptive Switching Mechanism between Its Two Sparse Sub-Modes. ICCCN (1998)
James Holt, Wuxu Peng
An Innovative Routing Protocol Evaluation Tool. ICCCN (1997)