Edward Raff

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 178

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)
Amol Khanna, Edward Raff, Nathan Inkawhich
SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. SaTML (2024)
Nilanjana Das, Edward Raff, Manas Gaur
Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context. CoRR (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)
Anish Lakkapragada, Amol Khanna, Edward Raff, Nathan Inkawhich
Comprehensive OOD Detection Improvements. CoRR (2024)
Amol Khanna, Edward Raff, Nathan Inkawhich
SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. CoRR (2024)
Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification. CoRR (2024)
Deepa Tilwani, Yash Saxena, Ali Mohammadi, Edward Raff, Amit P. Sheth, Srinivasan Parthasarathy, Manas Gaur
REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs. CoRR (2024)
Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy
. KDD (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)
Seyedali Mohammadi, Edward Raff, Jinendra Malekar, Vedant Palit, Francis Ferraro, Manas Gaur
WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions. 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
Does the Market of Citations Reward Reproducible Work? ACM-REP (2023)
Edward Raff, James Holt
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests. NeurIPS (2023)
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
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling. ICML (2023)
Amol Khanna, Fred Lu, Edward Raff, Brian Testa
Differentially Private Logistic Regression with Sparse Solutions. AISec@CCS (2023)
Mike Wong, Edward Raff, James Holt, Ravi Netravali
Marvolo: Programmatic Data Augmentation for Deep Malware Detection. ECML/PKDD (1) (2023)
Nora Belrose, David Schneider-Joseph, Shauli Ravfogel, Ryan Cotterell, Edward Raff, Stella Biderman
LEACE: Perfect linear concept erasure in closed form. CoRR (2023)
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
Crosslingual Generalization through Multitask Finetuning. ACL (1) (2023)
Corey J. Nolet, Divye Gala, Alexandre Fender, Mahesh Doijade, Joe Eaton, Edward Raff, John Zedlewski, Brad Rees, Tim Oates
cuSLINK: Single-Linkage Agglomerative Clustering on the GPU. ECML/PKDD (1) (2023)
Edward Raff, Amol Khanna, Fred Lu
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations. CoRR (2023)
Luke E. Richards, Edward Raff, Cynthia Matuszek
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition. AISec@CCS (2023)
Catherine Ordun, Alexandra N. Cha, Edward Raff, Sanjay Purushotham, Karen Kwok, Mason Rule, James L. Gulley
A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces. CoRR (2023)
Mohammad Mahmudul Alam, Edward Raff, Tim Oates, Cynthia Matuszek
DDxT: Deep Generative Transformer Models for Differential Diagnosis. CoRR (2023)
Luke E. Richards, Edward Raff, Cynthia Matuszek
Measuring Equality in Machine Learning Security Defenses. CoRR (2023)
Edward Raff, Cynthia Matuszek
Does Starting Deep Learning Homework Earlier Improve Grades? ECAI Workshops (2) (2023)
Stella Biderman, USVSN Sai Prashanth, Lintang Sutawika, Hailey Schoelkopf, Quentin Anthony, Shivanshu Purohit, Edward Raff
Emergent and Predictable Memorization in Large Language Models. NeurIPS (2023)
Nora Belrose, David Schneider-Joseph, Shauli Ravfogel, Ryan Cotterell, Edward Raff, Stella Biderman
LEACE: Perfect linear concept erasure in closed form. NeurIPS (2023)
Fred Lu, Edward Raff, Francis Ferraro
Neural Bregman Divergences for Distance Learning. ICLR (2023)
Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. ACM Trans. Priv. Secur. 26 (4) (2023)
Amol Khanna, Fred Lu, Edward Raff, Brian Testa
Sparse Private LASSO Logistic Regression. CoRR (2023)
Edward Raff, Cynthia Matuszek
Does Starting Deep Learning Homework Earlier Improve Grades? CoRR (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)
Tyler LeBlond, Joseph Munoz, Fred Lu, Maya Fuchs, Elliott Zaresky-Williams, Edward Raff, Brian Testa
Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile. CoRR (2023)
Amol Khanna, Fred Lu, Edward Raff
The Challenge of Differentially Private Screening Rules. CoRR (2023)
Catherine Ordun, Edward Raff, Sanjay Purushotham
Vista Morph - Unsupervised Image Registration of Visible-Thermal Facial Pairs. IJCB (2023)
Tyler LeBlond, Joseph Munoz, Fred Lu, Maya Fuchs, Elliott Zaresky-Williams, Edward Raff, Brian Testa
Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile. AISec@CCS (2023)
Fred Lu, Edward Raff, James Holt
A Coreset Learning Reality Check. CoRR (2023)
Catherine Ordun, Edward Raff, Sanjay Purushotham
When Visible-to-Thermal Facial GAN Beats Conditional Diffusion. ICIP (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)
Kasra Darvish, Edward Raff, Francis Ferraro, Cynthia Matuszek
Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities. Trans. Mach. Learn. Res. 2023 (2023)
Robert J. Joyce, Dev Amlani, Charles Nicholas, Edward Raff
MOTIF: A Malware Reference Dataset with Ground Truth Family Labels. Comput. Secur. 124 (2023)
Edward Raff, Andrew L. Farris
A Siren Song of Open Source Reproducibility, Examples from Machine Learning. ACM-REP (2023)
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
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. ACL (1) (2023)
Catherine Ordun, Edward Raff, Sanjay Purushotham
When Visible-to-Thermal Facial GAN Beats Conditional Diffusion. CoRR (2023)
Edward Raff, James Holt
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests. CoRR (2023)
Edward Raff, Michel Benaroch, Andrew L. Farris
You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks. CoRR (2023)
Catherine Ordun, Edward Raff, Sanjay Purushotham
Vista-Morph: Unsupervised Image Registration of Visible-Thermal Facial Pairs. CoRR (2023)
Edward Raff, Amol Khanna, Fred Lu
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations. NeurIPS (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)
Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. AISec@CCS (2023)
Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
Recasting Self-Attention with Holographic Reduced Representations. ICML (2023)
Corey J. Nolet, Divye Gala, Alexandre Fender, Mahesh Doijade, Joe Eaton, Edward Raff, John Zedlewski, Brad Rees, Tim Oates
cuSLINK: Single-linkage Agglomerative Clustering on the GPU. CoRR (2023)
Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. CoRR (2023)
Mohammad Mahmudul Alam, Edward Raff, Tim Oates
Towards Generalization in Subitizing with Neuro-Symbolic Loss using Holographic Reduced Representations. CoRR (2023)
Stella Biderman, Hailey Schoelkopf, Quentin 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
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling. CoRR (2023)
Stella Biderman, USVSN Sai Prashanth, Lintang Sutawika, Hailey Schoelkopf, Quentin Anthony, Shivanshu Purohit, Edward Raff
Emergent and Predictable Memorization in Large Language Models. CoRR (2023)
Skyler Wu, Fred Lu, Edward Raff, James Holt
Exploring the Sharpened Cosine Similarity. CoRR (2023)
Catherine Ordun, Alexandra N. Cha, Edward Raff, Sanjay Purushotham, Karen Kwok, Mason Rule, James L. Gulley
A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces. AIIIMA@MICCAI (2023)
Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. 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)
Fred Lu, Joseph Munoz, Maya Fuchs, Tyler LeBlond, Elliott Zaresky-Williams, Edward Raff, Francis Ferraro, Brian Testa
A General Framework for Auditing Differentially Private Machine Learning. CoRR (2022)
Stella Biderman, Edward Raff
Neural Language Models are Effective Plagiarists. CoRR (2022)
Michael D. Wong, Edward Raff, James Holt, Ravi Netravali
Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection. CoRR (2022)
Fred Lu, Francis Ferraro, Edward Raff
Continuously Generalized Ordinal Regression for Linear and Deep Models. CoRR (2022)
Katherine Crowson, Stella Biderman, Daniel Kornis, Dashiell Stander, Eric Hallahan, Louis Castricato, Edward Raff
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance. CoRR (2022)
Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations. ICML (2022)
Fred Lu, Edward Raff, Francis Ferraro
Neural Bregman Divergences for Distance Learning. CoRR (2022)
Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt
Lempel-Ziv Networks. ICBINB (2022)
Edward Raff, Andrew L. Farris
A Siren Song of Open Source Reproducibility. CoRR (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)
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
Crosslingual Generalization through Multitask Finetuning. CoRR (2022)
Catherine Ordun, Alexandra N. Cha, Edward Raff, Byron Gaskin, Alex Hanson, Mason Rule, Sanjay Purushotham, James L. Gulley
Intelligent Sight and Sound: A Chronic Cancer Pain Dataset. CoRR (2022)
Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, Tim Oates
GPU Semiring Primitives for Sparse Neighborhood Methods. MLSys (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)
Robert J. Joyce, Edward Raff, Charles Nicholas
Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time. CoRR (2022)
Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. AAAI (2022)
Stella Biderman, Edward Raff
Fooling MOSS Detection with Pretrained Language Models. CIKM (2022)
Derek Everett, André T. Nguyen, Luke E. Richards, Edward Raff
Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training. 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)
Edward Raff
Does the Market of Citations Reward Reproducible Work? CoRR (2022)
Katherine Crowson, Stella Biderman, Daniel Kornis, Dashiell Stander, Eric Hallahan, Louis Castricato, Edward Raff
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance. ECCV (37) (2022)
Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt
Lempel-Ziv Networks. CoRR (2022)
Fred Lu, Francis Ferraro, Edward Raff
Continuously Generalized Ordinal Regression for Linear and Deep Models. SDM (2022)
Fred Lu, Joseph Munoz, Maya Fuchs, Tyler LeBlond, Elliott Zaresky-Williams, Edward Raff, Francis Ferraro, Brian Testa
A General Framework for Auditing Differentially Private Machine Learning. NeurIPS (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)
Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. AAAI (2021)
Catherine Ordun, Edward Raff, Sanjay Purushotham
Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels. CoRR (2021)
Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. CoRR (2021)
Robert J. Joyce, Dev Amlani, Charles Nicholas, Edward Raff
MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels. CoRR (2021)
Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff
Adversarial Transfer Attacks With Unknown Data and Class Overlap. AISec@CCS (2021)
Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean
Learning with Holographic Reduced Representations. NeurIPS (2021)
Edward Raff
Exact Acceleration of K-Means++ and K-Means||. IJCAI (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Edward Raff