Edward Raff

Venues

Frequent coauthors

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

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2. Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets
   AAAI 2026 ·

   Ryan R. Curtin

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3. Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
   AAAI 2025 ·

   Seyedreza Mohseni

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4. ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling
   WWW 2025 ·

   Robert J. Joyce

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5. Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions
   EMNLP 2025 ·

   Seyedali Mohammadi

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6. EMBER2024 - A Benchmark Dataset for Holistic Evaluation of Malware Classifiers
   SIGKDD 2025 ·

   Robert J. Joyce

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7. Large Language Models and Normalized Compression Distance: Better Compression Yet Worse Accuracy
   ECAI 2025 ·

   John Hurwitz

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8. Multi-layer Radial Basis Function Networks for Out-of-distribution Detection
   CVPR 2025 ·

   Amol Khanna

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9. Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification
   ECML-PKDD 2025 ·

   Fred Lu

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10. Quick Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms
    SIGKDD 2025 ·

    Derek Everett

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11. Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent
    CVPR 2025 ·

    Philip Doldo

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12. What Do Machine Learning Researchers Mean by "Reproducible"?
    AAAI 2025 · Edward Raff
13. Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora
    CIKM 2025 · Edward Raff
14. A Walsh Hadamard Derived Linear Vector Symbolic Architecture
    NeurIPS 2024 ·

    Mohammad Mahmudul Alam

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15. Assemblage: Automatic Binary Dataset Construction for Machine Learning
    NeurIPS 2024 ·

    Chang Liu

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16. High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates
    SIGKDD 2024 ·

    Fred Lu

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17. Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection
    AISTATS 2024 ·

    Mohammad Mahmudul Alam

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18. Is Function Similarity Over-Engineered? Building a Benchmark
    NeurIPS 2024 ·

    Rebecca Saul

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19. KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs)
    SIGKDD 2024 ·

    Manas Gaur

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20. Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling
    NeurIPS 2024 ·

    Skyler Wu

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