| 2026 | AAAI | Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets. | Ryan R. Curtin, Fred Lu, Edward Raff, Priyanka Ranade |
| 2026 | AAAI | Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications. | Ashley Klein, Edward Raff, Marcia DesJardin |
| 2026 | AIME | Learning to Segment Using Summary Statistics and Weak Supervision. | Omkar Kulkarni, Edward Raff, Tim Oates |
| 2025 | AAAI | Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation. | Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani, Yash Saxena, Gerald Ketu Ndawula, Sriram Vema, Edward Raff, Manas Gaur |
| 2025 | AAAI | What Do Machine Learning Researchers Mean by "Reproducible"? | Edward Raff, Michel Benaroch, Sagar Samtani, Andrew L. Farris |
| 2025 | AIES | You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks. | Edward Raff, Michel Benaroch, Andrew L. Farris |
| 2025 | CIKM | Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora. | Edward Raff, Ryan R. Curtin, Derek Everett, Robert J. Joyce, James Holt |
| 2025 | CVPR | Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent. | Philip Doldo, Derek Everett, Amol Khanna, Andr T. Nguyen, Edward Raff |
| 2025 | CVPR | Multi-layer Radial Basis Function Networks for Out-of-distribution Detection. | Amol Khanna, Chenyi Ling, Derek Everett, Edward Raff, Nathan Inkawhich |
| 2025 | ECAI | Large Language Models and Normalized Compression Distance: Better Compression Yet Worse Accuracy. | John Hurwitz, Charles Nicholas, Edward Raff |
| 2025 | EMNLP | Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions. | Seyedali Mohammadi, Bhaskara Hanuma Vedula, Hemank Lamba, Edward Raff, Ponnurangam Kumaraguru, Francis Ferraro, Manas Gaur |
| 2025 | KDD | Quick Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms. | Derek Everett, Fred Lu, Edward Raff, Fernando Camacho, James Holt |
| 2025 | KDD | EMBER2024 - A Benchmark Dataset for Holistic Evaluation of Malware Classifiers. | Robert J. Joyce, Gideon Miller, Phil Roth, Richard Zak, Elliott Zaresky-Williams, Hyrum S. Anderson, Edward Raff, James Holt |
| 2025 | WWW | ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling. | Robert J. Joyce, Derek Everett, Maya Fuchs, Edward Raff, James Holt |
| 2025 | SP | Disassembly as Weighted Interval Scheduling with Learned Weights. | Antonio Flores-Montoya, Junghee Lim, Adam Seitz, Akshay Sood, Edward Raff, James Holt |
| 2024 | AISTATS | Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection. | Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt |
| 2024 | DSAA | More Options for Prelabor Rupture of Membranes, A Bayesian Analysis. | Ashley Klein, Edward Raff, Elisabeth Seamon, Lily Foley, Timothy Bussert |
| 2024 | KDD | KiL 2024: 4th International Workshop on Knowledge-infused Learning | Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy |
| 2024 | KDD | High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates. | Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt |
| 2023 | AAAI | A Coreset Learning Reality Check. | Fred Lu, Edward Raff, James Holt |
| 2023 | ACL | Crosslingual Generalization through Multitask Finetuning. | Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M. Saiful Bari, Sheng Shen, Zheng Xin Yong, Hailey Schoelkopf, Xiangru Tang, Dragomir Radev, Alham Fikri Aji, Khalid Almubarak, Samuel Albanie, Zaid Alyafeai, Albert Webson, Edward Raff, Colin Raffel |
| 2023 | ACL | BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. | Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, Alham Fikri Aji, David Ifeoluwa Adelani, Khalid Almubarak, M. Saiful Bari, Lintang Sutawika, Jungo Kasai, Ahmed Baruwa, Genta Indra Winata, Stella Biderman, Edward Raff, Dragomir Radev, Vassilina Nikoulina |
| 2023 | CCS | AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. | Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff |
| 2023 | CCS | Differentially Private Logistic Regression with Sparse Solutions. | Amol Khanna, Fred Lu, Edward Raff, Brian Testa |
| 2023 | CCS | Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile. | Tyler LeBlond, Joseph Munoz, Fred Lu, Maya Fuchs, Elliott Zaresky-Williams, Edward Raff, Brian Testa |
| 2023 | CCS | Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition. | Luke E. Richards, Edward Raff, Cynthia Matuszek |
| 2023 | ECAI | Does Starting Deep Learning Homework Earlier Improve Grades? | Edward Raff, Cynthia Matuszek |
| 2023 | ECAI | An Easy Rejection Sampling Baseline via Gradient Refined Proposals. | Edward Raff, Mark McLean, James Holt |
| 2023 | ICIP | When Visible-to-Thermal Facial GAN Beats Conditional Diffusion. | Catherine Ordun, Edward Raff, Sanjay Purushotham |
| 2023 | ICLR | Neural Bregman Divergences for Distance Learning. | Fred Lu, Edward Raff, Francis Ferraro |
| 2023 | ICML | Recasting Self-Attention with Holographic Reduced Representations. | Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt |
| 2023 | ICML | Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling. | Stella Biderman, Hailey Schoelkopf, Quentin Gregory Anthony, Herbie Bradley, Kyle O'Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, USVSN Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, Oskar van der Wal |
| 2023 | MICCAI | A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces. | Catherine Ordun, Alexandra N. Cha, Edward Raff, Sanjay Purushotham, Karen Kwok, Mason Rule, James L. Gulley |
| 2022 | AAAI | Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. | Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek |
| 2022 | AAAI | Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. | Andr T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt |
| 2022 | CIKM | Fooling MOSS Detection with Pretrained Language Models. | Stella Biderman, Edward Raff |
| 2022 | ECCV | VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance. | Katherine Crowson, Stella Biderman, Daniel Kornis, Dashiell Stander, Eric Hallahan, Louis Castricato, Edward Raff |
| 2022 | ICML | Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations. | Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt |
| 2022 | SDM | Continuously Generalized Ordinal Regression for Linear and Deep Models. | Fred Lu, Francis Ferraro, Edward Raff |
| 2021 | AAAI | Bringing UMAP Closer to the Speed of Light with GPU Acceleration. | Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson |
| 2021 | AAAI | Research Reproducibility as a Survival Analysis. | Edward Raff |
| 2021 | AAAI | Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. | Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean |
| 2021 | CCS | A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels. | Robert J. Joyce, Edward Raff, Charles Nicholas |
| 2021 | CCS | Adversarial Transfer Attacks With Unknown Data and Class Overlap. | Luke E. Richards, Andr T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff |
| 2021 | CVPR | Practical Cross-Modal Manifold Alignment for Robotic Grounded Language Learning. | Andr T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek |
| 2021 | ICIP | Generating Thermal Human Faces for Physiological Assessment using Thermal Sensor Auxiliary Labels. | Catherine Ordun, Edward Raff, Sanjay Purushotham |
| 2021 | IJCAI | Exact Acceleration of K-Means++ and K-Means||. | Edward Raff |
| 2020 | AAAI | A New Burrows Wheeler Transform Markov Distance. | Edward Raff, Charles Nicholas, Mark McLean |
| 2020 | CCS | Automatic Yara Rule Generation Using Biclustering. | Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt |
| 2020 | CVPR | Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory. | Arash Rahnama, Andr T. Nguyen, Edward Raff |
| 2020 | DocEng | COVID-19 Kaggle Literature Organization. | Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson |
| 2020 | ICDM | Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors. | Edward Raff, Bobby Filar, James Holt |
| 2020 | ICTAI | Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams. | Wenbin Zhang, Mingli Zhang, Ji Zhang, Zhen Liu, Zhiyuan Chen, Jianwu Wang, Edward Raff, Enza Messina |
| 2019 | CVPR | Barrage of Random Transforms for Adversarially Robust Defense. | Edward Raff, Jared Sylvester, Steven Forsyth, Mark McLean |
| 2018 | AAAI | Malware Detection by Eating a Whole EXE. | Edward Raff, Jon Barker, Jared Sylvester, Robert Brandon, Bryan Catanzaro, Charles K. Nicholas |
| 2018 | AIES | Fair Forests: Regularized Tree Induction to Minimize Model Bias. | Edward Raff, Jared Sylvester, Steven Mills |
| 2018 | CIKM | Engineering a Simplified 0-Bit Consistent Weighted Sampling. | Edward Raff, Jared Sylvester, Charles Nicholas |
| 2018 | DocEng | Hash-Grams: Faster N-Gram Features for Classification and Malware Detection. | Edward Raff, Charles Nicholas |
| 2018 | DSAA | Gradient Reversal against Discrimination: A Fair Neural Network Learning Approach. | Edward Raff, Jared Sylvester |
| 2018 | ICMLA | Neural Fingerprint Enhancement. | Edward Raff |
| 2018 | IJCAI | Dr. AI, where did you get your degree? | Edward Raff, Shannon Lantzy, Ezekiel J. Maier |
| 2018 | IJCAI | Dr. AI, Where Did You Get Your Degree? | Edward Raff, Shannon Lantzy, Ezekiel J. Maier |
| 2017 | CCS | Malware Classification and Class Imbalance via Stochastic Hashed LZJD. | Edward Raff, Charles Nicholas |
| 2017 | CCS | Learning the PE Header, Malware Detection with Minimal Domain Knowledge. | Edward Raff, Jared Sylvester, Charles Nicholas |
| 2017 | KDD | An Alternative to NCD for Large Sequences, Lempel-Ziv Jaccard Distance. | Edward Raff, Charles K. Nicholas |