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Edward Raff

21 papers at tracked venues · 16 at CORE A* · active 2024–2026

Venues

Frequent coauthors

James Holt
×12
Fred Lu
×5
Derek Everett
×5
Ryan R. Curtin
×4
Manas Gaur
×3
Robert J. Joyce
×3
Francis Ferraro
×3
Seyedali Mohammadi
×2
Maya Fuchs
×2
Richard Zak
×2
Amol Khanna
×2
Mohammad Mahmudul Alam
×2

Papers

  1. Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications
    AAAI 2026 ·
    Ashley Klein
    , Edward Raff,
    Marcia DesJardin
  2. Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets
    AAAI 2026 ·
    Ryan R. Curtin
    ,
    Fred Lu
    , Edward Raff,
    Priyanka Ranade
  3. Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
    AAAI 2025 ·
    Seyedreza Mohseni
    ,
    Seyedali Mohammadi
    ,
    Deepa Tilwani
    ,
    Yash Saxena
    ,
    Gerald Ketu Ndawula
    ,
    Sriram Vema
    , Edward Raff,
    Manas Gaur
  4. ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling
    WWW 2025 ·
    Robert J. Joyce
    ,
    Derek Everett
    ,
    Maya Fuchs
    , Edward Raff,
    James Holt
  5. Disassembly as Weighted Interval Scheduling with Learned Weights
    S&P 2025 ·
    Antonio Flores-Montoya
    ,
    Junghee Lim
    ,
    Adam Seitz
    ,
    Akshay Sood
    , Edward Raff,
    James Holt
  6. Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions
    EMNLP 2025 ·
    Seyedali Mohammadi
    ,
    Bhaskara Hanuma Vedula
    ,
    Hemank Lamba
    , Edward Raff,
    Ponnurangam Kumaraguru
    ,
    Francis Ferraro
    ,
    Manas Gaur
  7. EMBER2024 - A Benchmark Dataset for Holistic Evaluation of Malware Classifiers
    SIGKDD 2025 ·
    Robert J. Joyce
    ,
    Gideon Miller
    ,
    Phil Roth
    ,
    Richard Zak
    ,
    Elliott Zaresky-Williams
    ,
    Hyrum S. Anderson
    , Edward Raff,
    James Holt
  8. Large Language Models and Normalized Compression Distance: Better Compression Yet Worse Accuracy
    ECAI 2025 ·
    John Hurwitz
    ,
    Charles Nicholas
    , Edward Raff
  9. Multi-layer Radial Basis Function Networks for Out-of-distribution Detection
    CVPR 2025 ·
    Amol Khanna
    ,
    Chenyi Ling
    ,
    Derek Everett
    , Edward Raff,
    Nathan Inkawhich
  10. Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification
    ECML-PKDD 2025 ·
    Fred Lu
    ,
    Ryan R. Curtin
    , Edward Raff,
    Francis Ferraro
    ,
    James Holt
  11. Quick Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms
    SIGKDD 2025 ·
    Derek Everett
    ,
    Fred Lu
    , Edward Raff,
    Fernando Camacho
    ,
    James Holt
  12. Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent
    CVPR 2025 ·
    Philip Doldo
    ,
    Derek Everett
    ,
    Amol Khanna
    ,
    André T. Nguyen
    , Edward Raff
  13. What Do Machine Learning Researchers Mean by "Reproducible"?
    AAAI 2025 · Edward Raff,
    Michel Benaroch
    ,
    Sagar Samtani
    ,
    Andrew L. Farris
  14. Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora
    CIKM 2025 · Edward Raff,
    Ryan R. Curtin
    ,
    Derek Everett
    ,
    Robert J. Joyce
    ,
    James Holt
  15. A Walsh Hadamard Derived Linear Vector Symbolic Architecture
    NeurIPS 2024 ·
    Mohammad Mahmudul Alam
    ,
    Alexander Oberle
    , Edward Raff,
    Stella Biderman
    ,
    Tim Oates
    ,
    James Holt
  16. Assemblage: Automatic Binary Dataset Construction for Machine Learning
    NeurIPS 2024 ·
    Chang Liu
    ,
    Rebecca Saul
    ,
    Yihao Sun
    , Edward Raff,
    Maya Fuchs
    ,
    Townsend Southard Pantano
    ,
    James Holt
    ,
    Kristopher K. Micinski
  17. High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates
    SIGKDD 2024 ·
    Fred Lu
    ,
    Ryan R. Curtin
    , Edward Raff,
    Francis Ferraro
    ,
    James Holt
  18. Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection
    AISTATS 2024 ·
    Mohammad Mahmudul Alam
    , Edward Raff,
    Stella Biderman
    ,
    Tim Oates
    ,
    James Holt
  19. Is Function Similarity Over-Engineered? Building a Benchmark
    NeurIPS 2024 ·
    Rebecca Saul
    ,
    Chang Liu
    ,
    Noah Fleischmann
    ,
    Richard Zak
    ,
    Kristopher K. Micinski
    , Edward Raff,
    James Holt
  20. KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs)
    SIGKDD 2024 ·
    Manas Gaur
    ,
    Efthymia Tsamoura
    , Edward Raff,
    Nikhita Vedula
    ,
    Srinivasan Parthasarathy
  21. Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling
    NeurIPS 2024 ·
    Skyler Wu
    ,
    Fred Lu
    , Edward Raff,
    James Holt