Edward Raff - RankMe

236 papers A* 35A 7B 9C 2Journal 129Unranked 49

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial Samples Are Not Created Equal. CoRR Jennifer Crawford, Amol Khanna, Fred Lu, Amy R. Wagoner, Stella Biderman, André T. Nguyen, Edward Raff
2026	A*	`conf`	Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications. AAAI Ashley Klein, Edward Raff, Marcia DesJardin
2026	J	`jnl`	Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications. CoRR Ashley Klein, Edward Raff, Marcia DesJardin
2026	A*	`conf`	Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets. AAAI Ryan R. Curtin, Fred Lu, Edward Raff, Priyanka Ranade
2026	J	`jnl`	SubstratumGraphEnv: Reinforcement Learning Environment (RLE) for Modeling System Attack Paths. CoRR Bahirah Adewunmi, Edward Raff, Sanjay Purushotham
2026	J	`jnl`	Towards generalization in subitizing with neuro-symbolic loss using holographic reduced representations. Cogn. Syst. Res. Mohammad Mahmudul Alam, Edward Raff, Tim Oates
2025	J	`jnl`	A Vector Symbolic Approach to Multiple Instance Learning. CoRR Ehsan Ahmed Dhrubo, Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt
2025	—	`conf`	Adversarial Machine Learning Attacks on Financial Reporting via Maximum Violated Multi-Objective Attack. CAMLIS Edward Raff, Karen Kukla, Michel Benaroch, Joseph Comprix
2025	J	`jnl`	Adversarial Machine Learning Attacks on Financial Reporting via Maximum Violated Multi-Objective Attack. CoRR Edward Raff, Karen Kukla, Michel Benaroch, Joseph Comprix
2025	A*	`conf`	Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation. AAAI Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani, Yash Saxena, Gerald Ketu Ndawula, Sriram Vema, Edward Raff, Manas Gaur
2025	—	`conf`	ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling. WWW (Companion Volume) Robert J. Joyce, Derek Everett, Maya Fuchs, Edward Raff, James Holt
2025	J	`jnl`	ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling. CoRR Robert J. Joyce, Derek Everett, Maya Fuchs, Edward Raff, James Holt
2025	—	`conf`	Differentially Private Iterative Screening Rules for Linear Regression. CODASPY Amol Khanna, Fred Lu, Edward Raff
2025	J	`jnl`	Differentially Private Iterative Screening Rules for Linear Regression. CoRR Amol Khanna, Fred Lu, Edward Raff
2025	A*	`conf`	Disassembly as Weighted Interval Scheduling with Learned Weights. SP Antonio Flores-Montoya, Junghee Lim, Adam Seitz, Akshay Sood, Edward Raff, James Holt
2025	J	`jnl`	Disassembly as Weighted Interval Scheduling with Learned Weights. CoRR Antonio Flores-Montoya, Junghee Lim, Adam Seitz, Akshay Sood, Edward Raff, James Holt
2025	A*	`conf`	Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions. EMNLP Seyedali Mohammadi, Bhaskara Hanuma Vedula, Hemank Lamba, Edward Raff, Ponnurangam Kumaraguru, Francis Ferraro, Manas Gaur
2025	J	`jnl`	Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions. CoRR Seyedali Mohammadi, Bhaskara Hanuma Vedula, Hemank Lamba, Edward Raff, Ponnurangam Kumaraguru, Francis Ferraro, Manas Gaur
2025	—	`conf`	EMBER2024 - A Benchmark Dataset for Holistic Evaluation of Malware Classifiers. KDD (2) Robert J. Joyce, Gideon Miller, Phil Roth, Richard Zak, Elliott Zaresky-Williams, Hyrum S. Anderson, Edward Raff, James Holt
2025	J	`jnl`	EMBER2024 - A Benchmark Dataset for Holistic Evaluation of Malware Classifiers. CoRR Robert J. Joyce, Gideon Miller, Phil Roth, Richard Zak, Elliott Zaresky-Williams, Hyrum S. Anderson, Edward Raff, James Holt
2025	J	`jnl`	Intermediate N-Gramming: Deterministic and Fast N-Grams For Large N and Large Datasets. CoRR Ryan R. Curtin, Fred Lu, Edward Raff, Priyanka Ranade
2025	A	`conf`	Large Language Models and Normalized Compression Distance: Better Compression Yet Worse Accuracy. ECAI John Hurwitz, Charles Nicholas, Edward Raff
2025	—	`conf`	Multi-layer Radial Basis Function Networks for Out-of-distribution Detection. CVPR Workshops Amol Khanna, Chenyi Ling, Derek Everett, Edward Raff, Nathan Inkawhich
2025	J	`jnl`	Multi-layer Radial Basis Function Networks for Out-of-distribution Detection. CoRR Amol Khanna, Chenyi Ling, Derek Everett, Edward Raff, Nathan Inkawhich
2025	—	`conf`	Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification. ECML/PKDD (5) Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
2025	—	`ed.`	Proceedings of the 2025 Conference on Applied Machine Learning for Information Security (CAMLIS), 22-24 October 2025, Sands Capital, Arlington, VA, USA CAMLIS Edward Raff, Ethan M. Rudd
2025	—	`ed.`	Proceedings of the Conference on Applied Machine Learning in Information Security (CAMLIS 2024), Arlington, Virginia, USA, October 24-25, 2024. CAMLIS Rachel Allen, Sagar Samtani, Edward Raff, Ethan M. Rudd
2025	—	`ed.`	Proceedings of the Workshop on Knowledge-infused Learning co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Barcelona, Spain, August 26, 2024. KiL@KDD Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy
2025	—	`conf`	Quick Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms. KDD (2) Derek Everett, Fred Lu, Edward Raff, Fernando Camacho, James Holt
2025	J	`jnl`	Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms. CoRR Derek Everett, Fred Lu, Edward Raff, Fernando Camacho, James Holt
2025	A*	`conf`	Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent. CVPR Philip Doldo, Derek Everett, Amol Khanna, André T. Nguyen, Edward Raff
2025	J	`jnl`	Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent. CoRR Philip Doldo, Derek Everett, Amol Khanna, André T. Nguyen, Edward Raff
2025	A*	`conf`	What Do Machine Learning Researchers Mean by "Reproducible"? AAAI Edward Raff, Michel Benaroch, Sagar Samtani, Andrew L. Farris
2025	A	`conf`	Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora. CIKM Edward Raff, Ryan R. Curtin, Derek Everett, Robert J. Joyce, James Holt
2025	J	`jnl`	Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora. CoRR Edward Raff, Ryan R. Curtin, Derek Everett, Robert J. Joyce, James Holt
2024	A*	`conf`	A Walsh Hadamard Derived Linear Vector Symbolic Architecture. NeurIPS Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt
2024	J	`jnl`	A Walsh Hadamard Derived Linear Vector Symbolic Architecture. CoRR Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt
2024	J	`jnl`	Applied Machine Learning for Information Security. DTRAP Sagar Samtani, Edward Raff, Hyrum S. Anderson
2024	A*	`conf`	Assemblage: Automatic Binary Dataset Construction for Machine Learning. NeurIPS Chang Liu, Rebecca Saul, Yihao Sun, Edward Raff, Maya Fuchs, Townsend Southard Pantano, James Holt, Kristopher K. Micinski
2024	J	`jnl`	Assemblage: Automatic Binary Dataset Construction for Machine Learning. CoRR Chang Liu, Rebecca Saul, Yihao Sun, Edward Raff, Maya Fuchs, Townsend Southard Pantano, James Holt, Kristopher K. Micinski
2024	J	`jnl`	Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation. CoRR Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani, Yash Saxena, Gerald Ndawula, Sriram Vema, Edward Raff, Manas Gaur
2024	J	`jnl`	Comprehensive OOD Detection Improvements. CoRR Anish Lakkapragada, Amol Khanna, Edward Raff, Nathan Inkawhich
2024	J	`jnl`	Efficient Malware Analysis Using Metric Embeddings. DTRAP Ethan M. Rudd, David Krisiloff, Scott E. Coull, Daniel Olszewski, Edward Raff, James Holt
2024	—	`conf`	Feature Selection from Differentially Private Correlations. AISec@CCS Ryan Swope, Amol Khanna, Philip Doldo, Saptarshi Roy, Edward Raff
2024	J	`jnl`	Feature Selection from Differentially Private Correlations. CoRR Ryan Swope, Amol Khanna, Philip Doldo, Saptarshi Roy, Edward Raff
2024	A*	`conf`	High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates. KDD Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
2024	J	`jnl`	High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates. CoRR Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
2024	A	`conf`	Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection. AISTATS Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
2024	J	`jnl`	Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection. CoRR Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
2024	J	`jnl`	Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context. CoRR Nilanjana Das, Edward Raff, Manas Gaur
2024	J	`jnl`	Human-Readable Adversarial Prompts: An Investigation into LLM Vulnerabilities Using Situational Context. CoRR Nilanjana Das, Edward Raff, Manas Gaur
2024	A*	`conf`	Is Function Similarity Over-Engineered? Building a Benchmark. NeurIPS Rebecca Saul, Chang Liu, Noah Fleischmann, Richard Zak, Kristopher K. Micinski, Edward Raff, James Holt
2024	J	`jnl`	Is Function Similarity Over-Engineered? Building a Benchmark. CoRR Rebecca Saul, Chang Liu, Noah Fleischmann, Richard Zak, Kristopher K. Micinski, Edward Raff, James Holt
2024	A*	`conf`	KiL 2024: 4th International Workshop on Knowledge-infused Learning KDD Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy
2024	J	`jnl`	KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors. CoRR Benson Chen, Tomasz Danel, Patrick J. McEnaney, Nikhil Jain, Kirill Novikov, Spurti Umesh Akki, Joshua L. Turnbull, Virja Atul Pandya, Boris P. Belotserkovskii, Jared Bryce Weaver, Ankita Biswas, Dat Nguyen, Gabriel H. S. Dreiman, Mohammad Sultan, Nathaniel Stanley, Daniel M. Whalen, Divya Kanichar, Christoph Klein, Emily Fox, Edward Raff
2024	B	`conf`	Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection. IEEE Big Data Siddhant Gupta, Fred Lu, Andrew Barlow, Edward Raff, Francis Ferraro, Cynthia Matuszek, Charles Nicholas, James Holt
2024	J	`jnl`	Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection. CoRR Siddhant Gupta, Fred Lu, Andrew Barlow, Edward Raff, Francis Ferraro, Cynthia Matuszek, Charles Nicholas, James Holt
2024	B	`conf`	More Options for Prelabor Rupture of Membranes, A Bayesian Analysis. DSAA Ashley Klein, Edward Raff, Elisabeth Seamon, Lily Foley, Timothy Bussert
2024	J	`jnl`	More Options for Prelabor Rupture of Membranes, A Bayesian Analysis. CoRR Ashley Klein, Edward Raff, Elisabeth Seamon, Lily Foley, Timothy Bussert
2024	J	`jnl`	Neural Normalized Compression Distance and the Disconnect Between Compression and Classification. CoRR John Hurwitz, Charles Nicholas, Edward Raff
2024	J	`jnl`	Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification. CoRR Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
2024	J	`jnl`	Position: Challenges and Opportunities for Differential Privacy in the U.S. Federal Government. CoRR Amol Khanna, Adam McCormick, André T. Nguyen, Chris Aguirre, Edward Raff
2024	—	`ed.`	Proceedings of the Conference on Applied Machine Learning in Information Security, Arlington, Virginia, USA, October 19-20, 2023. CAMLIS Lauren Deason, Sagar Samtani, Edward Raff, Ethan M. Rudd
2024	J	`jnl`	REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs. CoRR Deepa Tilwani, Yash Saxena, Ali Mohammadi, Edward Raff, Amit P. Sheth, Srinivasan Parthasarathy, Manas Gaur
2024	—	`conf`	SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. SaTML Amol Khanna, Edward Raff, Nathan Inkawhich
2024	J	`jnl`	SoK: A Review of Differentially Private Linear Models For High-Dimensional Data. CoRR Amol Khanna, Edward Raff, Nathan Inkawhich
2024	A*	`conf`	Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling. NeurIPS Skyler Wu, Fred Lu, Edward Raff, James Holt
2024	J	`jnl`	Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling. CoRR Skyler Wu, Fred Lu, Edward Raff, James Holt
2024	J	`jnl`	WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions. CoRR Seyedali Mohammadi, Edward Raff, Jinendra Malekar, Vedant Palit, Francis Ferraro, Manas Gaur
2024	J	`jnl`	What Do Machine Learning Researchers Mean by "Reproducible"? CoRR Edward Raff, Michel Benaroch, Sagar Samtani, Andrew L. Farris
2023	A*	`conf`	A Coreset Learning Reality Check. AAAI Fred Lu, Edward Raff, James Holt
2023	J	`jnl`	A Coreset Learning Reality Check. CoRR Fred Lu, Edward Raff, James Holt
2023	—	`conf`	A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces. AIIIMA@MICCAI Catherine Ordun, Alexandra N. Cha, Edward Raff, Sanjay Purushotham, Karen Kwok, Mason Rule, James L. Gulley
2023	J	`jnl`	A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces. CoRR Catherine Ordun, Alexandra N. Cha, Edward Raff, Sanjay Purushotham, Karen Kwok, Mason Rule, James L. Gulley
2023	—	`conf`	A Siren Song of Open Source Reproducibility, Examples from Machine Learning. ACM-REP Edward Raff, Andrew L. Farris
2023	—	`conf`	AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. AISec@CCS Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff
2023	J	`jnl`	AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. CoRR Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff
2023	A	`conf`	An Easy Rejection Sampling Baseline via Gradient Refined Proposals. ECAI Edward Raff, Mark McLean, James Holt
2023	—	`conf`	BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. ACL (1) 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	—	`conf`	Crosslingual Generalization through Multitask Finetuning. ACL (1) 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	J	`jnl`	DDxT: Deep Generative Transformer Models for Differential Diagnosis. CoRR Mohammad Mahmudul Alam, Edward Raff, Tim Oates, Cynthia Matuszek
2023	—	`conf`	Differentially Private Logistic Regression with Sparse Solutions. AISec@CCS Amol Khanna, Fred Lu, Edward Raff, Brian Testa
2023	—	`conf`	Does Starting Deep Learning Homework Earlier Improve Grades? ECAI Workshops (2) Edward Raff, Cynthia Matuszek
2023	J	`jnl`	Does Starting Deep Learning Homework Earlier Improve Grades? CoRR Edward Raff, Cynthia Matuszek
2023	—	`conf`	Does the Market of Citations Reward Reproducible Work? ACM-REP Edward Raff
2023	A*	`conf`	Emergent and Predictable Memorization in Large Language Models. NeurIPS Stella Biderman, USVSN Sai Prashanth, Lintang Sutawika, Hailey Schoelkopf, Quentin Anthony, Shivanshu Purohit, Edward Raff
2023	J	`jnl`	Emergent and Predictable Memorization in Large Language Models. CoRR Stella Biderman, USVSN Sai Prashanth, Lintang Sutawika, Hailey Schoelkopf, Quentin Anthony, Shivanshu Purohit, Edward Raff
2023	J	`jnl`	Exploring the Sharpened Cosine Similarity. CoRR Skyler Wu, Fred Lu, Edward Raff, James Holt
2023	A*	`conf`	LEACE: Perfect linear concept erasure in closed form. NeurIPS Nora Belrose, David Schneider-Joseph, Shauli Ravfogel, Ryan Cotterell, Edward Raff, Stella Biderman
2023	J	`jnl`	LEACE: Perfect linear concept erasure in closed form. CoRR Nora Belrose, David Schneider-Joseph, Shauli Ravfogel, Ryan Cotterell, Edward Raff, Stella Biderman
2023	J	`jnl`	MOTIF: A Malware Reference Dataset with Ground Truth Family Labels. Comput. Secur. Robert J. Joyce, Dev Amlani, Charles Nicholas, Edward Raff
2023	—	`conf`	MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers. CAMLIS Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt
2023	J	`jnl`	MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers. CoRR Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt
2023	—	`conf`	Marvolo: Programmatic Data Augmentation for Deep Malware Detection. ECML/PKDD (1) Mike Wong, Edward Raff, James Holt, Ravi Netravali
2023	J	`jnl`	Measuring Equality in Machine Learning Security Defenses. CoRR Luke E. Richards, Edward Raff, Cynthia Matuszek
2023	—	`conf`	Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition. AISec@CCS Luke E. Richards, Edward Raff, Cynthia Matuszek
2023	J	`jnl`	Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities. Trans. Mach. Learn. Res. Kasra Darvish, Edward Raff, Francis Ferraro, Cynthia Matuszek
2023	A*	`conf`	Neural Bregman Divergences for Distance Learning. ICLR Fred Lu, Edward Raff, Francis Ferraro
2023	—	`conf`	Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile. AISec@CCS Tyler LeBlond, Joseph Munoz, Fred Lu, Maya Fuchs, Elliott Zaresky-Williams, Edward Raff, Brian Testa
2023	J	`jnl`	Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile. CoRR Tyler LeBlond, Joseph Munoz, Fred Lu, Maya Fuchs, Elliott Zaresky-Williams, Edward Raff, Brian Testa
2023	—	`ed.`	Proceedings of the Conference on Applied Machine Learning in Information Security, CAMLIS 2022, Arlington, Virginia, USA, October 20-21, 2022. CAMLIS Edward Raff, Sagar Samtani, Lauren Deason
2023	A*	`conf`	Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling. ICML 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	J	`jnl`	Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling. CoRR 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
2023	A*	`conf`	Recasting Self-Attention with Holographic Reduced Representations. ICML Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
2023	J	`jnl`	Recasting Self-Attention with Holographic Reduced Representations. CoRR Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
2023	A*	`conf`	Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests. NeurIPS Edward Raff, James Holt
2023	J	`jnl`	Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests. CoRR Edward Raff, James Holt
2023	A*	`conf`	Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations. NeurIPS Edward Raff, Amol Khanna, Fred Lu
2023	J	`jnl`	Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations. CoRR Edward Raff, Amol Khanna, Fred Lu
2023	J	`jnl`	Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. ACM Trans. Priv. Secur. Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
2023	J	`jnl`	Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. CoRR Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov
2023	—	`conf`	Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CAMLIS Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
2023	J	`jnl`	Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CoRR Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
2023	J	`jnl`	Sparse Private LASSO Logistic Regression. CoRR Amol Khanna, Fred Lu, Edward Raff, Brian Testa
2023	J	`jnl`	The Challenge of Differentially Private Screening Rules. CoRR Amol Khanna, Fred Lu, Edward Raff
2023	J	`jnl`	Towards Generalization in Subitizing with Neuro-Symbolic Loss using Holographic Reduced Representations. CoRR Mohammad Mahmudul Alam, Edward Raff, Tim Oates
2023	B	`conf`	Vista Morph - Unsupervised Image Registration of Visible-Thermal Facial Pairs. IJCB Catherine Ordun, Edward Raff, Sanjay Purushotham
2023	J	`jnl`	Vista-Morph: Unsupervised Image Registration of Visible-Thermal Facial Pairs. CoRR Catherine Ordun, Edward Raff, Sanjay Purushotham
2023	B	`conf`	When Visible-to-Thermal Facial GAN Beats Conditional Diffusion. ICIP Catherine Ordun, Edward Raff, Sanjay Purushotham
2023	J	`jnl`	When Visible-to-Thermal Facial GAN Beats Conditional Diffusion. CoRR Catherine Ordun, Edward Raff, Sanjay Purushotham
2023	J	`jnl`	You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks. CoRR Edward Raff, Michel Benaroch, Andrew L. Farris
2023	—	`conf`	cuSLINK: Single-Linkage Agglomerative Clustering on the GPU. ECML/PKDD (1) Corey J. Nolet, Divye Gala, Alexandre Fender, Mahesh Doijade, Joe Eaton, Edward Raff, John Zedlewski, Brad Rees, Tim Oates
2023	J	`jnl`	cuSLINK: Single-linkage Agglomerative Clustering on the GPU. CoRR Corey J. Nolet, Divye Gala, Alexandre Fender, Mahesh Doijade, Joe Eaton, Edward Raff, John Zedlewski, Brad Rees, Tim Oates
2022	A*	`conf`	A General Framework for Auditing Differentially Private Machine Learning. NeurIPS Fred Lu, Joseph Munoz, Maya Fuchs, Tyler LeBlond, Elliott Zaresky-Williams, Edward Raff, Francis Ferraro, Brian Testa
2022	J	`jnl`	A General Framework for Auditing Differentially Private Machine Learning. CoRR Fred Lu, Joseph Munoz, Maya Fuchs, Tyler LeBlond, Elliott Zaresky-Williams, Edward Raff, Francis Ferraro, Brian Testa
2022	J	`jnl`	A Siren Song of Open Source Reproducibility. CoRR Edward Raff, Andrew L. Farris
2022	J	`jnl`	Artificial Intelligence for Cyber Security (AICS). CoRR James Holt, Edward Raff, Ahmad Ridley, Dennis Ross, Arunesh Sinha, Diane Staheli, William Streilen, Milind Tambe, Yevgeniy Vorobeychik, Allan B. Wollaber
2022	A*	`conf`	Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. AAAI Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek
2022	A	`conf`	Continuously Generalized Ordinal Regression for Linear and Deep Models. SDM Fred Lu, Francis Ferraro, Edward Raff
2022	J	`jnl`	Continuously Generalized Ordinal Regression for Linear and Deep Models. CoRR Fred Lu, Francis Ferraro, Edward Raff
2022	J	`jnl`	Crosslingual Generalization through Multitask Finetuning. CoRR 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
2022	A*	`conf`	Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations. ICML Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt
2022	J	`jnl`	Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations. CoRR Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt
2022	J	`jnl`	Does the Market of Citations Reward Reproducible Work? CoRR Edward Raff
2022	—	`conf`	Efficient Malware Analysis Using Metric Embeddings. CAMLIS Ethan M. Rudd, David Krisiloff, Daniel Olszewski, Edward Raff, James Holt
2022	J	`jnl`	Efficient Malware Analysis Using Metric Embeddings. CoRR Ethan M. Rudd, David Krisiloff, Scott E. Coull, Daniel Olszewski, Edward Raff, James Holt
2022	A	`conf`	Fooling MOSS Detection with Pretrained Language Models. CIKM Stella Biderman, Edward Raff
2022	—	`conf`	GPU Semiring Primitives for Sparse Neighborhood Methods. MLSys Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, Tim Oates
2022	J	`jnl`	Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training. CoRR Derek Everett, André T. Nguyen, Luke E. Richards, Edward Raff
2022	J	`jnl`	Intelligent Sight and Sound: A Chronic Cancer Pain Dataset. CoRR Catherine Ordun, Alexandra N. Cha, Edward Raff, Byron Gaskin, Alex Hanson, Mason Rule, Sanjay Purushotham, James L. Gulley
2022	—	`conf`	Lempel-Ziv Networks. ICBINB Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt
2022	J	`jnl`	Lempel-Ziv Networks. CoRR Rebecca Saul, Mohammad Mahmudul Alam, John Hurwitz, Edward Raff, Tim Oates, James Holt
2022	J	`jnl`	Marvolo: Programmatic Data Augmentation for Practical ML-Driven Malware Detection. CoRR Michael D. Wong, Edward Raff, James Holt, Ravi Netravali
2022	—	`conf`	Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis? CAMLIS André T. Nguyen, Richard Zak, Luke E. Richards, Maya Fuchs, Fred Lu, Robert Brandon, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
2022	J	`jnl`	Neural Bregman Divergences for Distance Learning. CoRR Fred Lu, Edward Raff, Francis Ferraro
2022	J	`jnl`	Neural Language Models are Effective Plagiarists. CoRR Stella Biderman, Edward Raff
2022	A*	`conf`	Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. AAAI André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
2022	J	`jnl`	Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. CoRR André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
2022	J	`jnl`	Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time. CoRR Robert J. Joyce, Edward Raff, Charles Nicholas
2022	—	`conf`	VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance. ECCV (37) Katherine Crowson, Stella Biderman, Daniel Kornis, Dashiell Stander, Eric Hallahan, Louis Castricato, Edward Raff
2022	J	`jnl`	VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance. CoRR Katherine Crowson, Stella Biderman, Daniel Kornis, Dashiell Stander, Eric Hallahan, Louis Castricato, Edward Raff
2021	—	`conf`	A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels. AISec@CCS Robert J. Joyce, Edward Raff, Charles Nicholas
2021	J	`jnl`	A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels. CoRR Robert J. Joyce, Edward Raff, Charles Nicholas
2021	—	`conf`	A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning. NeurIPS Datasets and Benchmarks Gaoussou Youssouf Kebe, Padraig Higgins, Patrick Jenkins, Kasra Darvish, Rishabh Sachdeva, Ryan Barron, John Winder, Don Engel, Edward Raff, Francis Ferraro, Cynthia Matuszek
2021	—	`conf`	Accounting for Variance in Machine Learning Benchmarks. MLSys Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
2021	J	`jnl`	Accounting for Variance in Machine Learning Benchmarks. CoRR Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Naz Sepah, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
2021	—	`conf`	Adversarial Transfer Attacks With Unknown Data and Class Overlap. AISec@CCS Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff
2021	J	`jnl`	Adversarial Transfer Attacks With Unknown Data and Class Overlap. CoRR Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff
2021	J	`jnl`	Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. CoRR Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek
2021	A*	`conf`	Bringing UMAP Closer to the Speed of Light with GPU Acceleration. AAAI Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson
2021	A*	`conf`	Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. AAAI Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean
2021	J	`jnl`	Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery. CoRR John Boutsikas, Maksim Ekin Eren, Charles K. Varga, Edward Raff, Cynthia Matuszek, Charles Nicholas
2021	A*	`conf`	Exact Acceleration of K-Means++ and K-Means\|\|. IJCAI Edward Raff
2021	J	`jnl`	Exact Acceleration of K-Means++ and K-Means∥. CoRR Edward Raff
2021	J	`jnl`	Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels. CoRR Catherine Ordun, Edward Raff, Sanjay Purushotham
2021	B	`conf`	Generating Thermal Human Faces for Physiological Assessment using Thermal Sensor Auxiliary Labels. ICIP Catherine Ordun, Edward Raff, Sanjay Purushotham
2021	—	`conf`	Intelligent Sight and Sound: A Chronic Cancer Facial Pain Dataset. NeurIPS Datasets and Benchmarks Catherine Ordun, Alexandra N. Cha, Edward Raff, Byron Gaskin, Alex Hanson, Mason Rule, Sanjay Purushotham, James L. Gulley
2021	A*	`conf`	Learning with Holographic Reduced Representations. NeurIPS Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean
2021	J	`jnl`	Learning with Holographic Reduced Representations. CoRR Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi, Edward Raff, Tim Oates, James Holt, Mark McLean
2021	J	`jnl`	Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints. CoRR André T. Nguyen, Edward Raff, Charles Nicholas, James Holt
2021	J	`jnl`	MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels. CoRR Robert J. Joyce, Dev Amlani, Charles Nicholas, Edward Raff
2021	—	`conf`	Practical Cross-Modal Manifold Alignment for Robotic Grounded Language Learning. CVPR Workshops André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek
2021	A*	`conf`	Research Reproducibility as a Survival Analysis. AAAI Edward Raff
2021	J	`jnl`	Semiring Primitives for Sparse Neighborhood Methods on the GPU. CoRR Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, John Zedlewski, Tim Oates
2020	A*	`conf`	A New Burrows Wheeler Transform Markov Distance. AAAI Edward Raff, Charles Nicholas, Mark McLean
2020	J	`jnl`	A Survey of Machine Learning Methods and Challenges for Windows Malware Classification. CoRR Edward Raff, Charles Nicholas
2020	—	`conf`	Automatic Yara Rule Generation Using Biclustering. AISec@CCS Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt
2020	J	`jnl`	Automatic Yara Rule Generation Using Biclustering. CoRR Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt
2020	J	`jnl`	Bringing UMAP Closer to the Speed of Light with GPU Acceleration. CoRR Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson
2020	B	`conf`	COVID-19 Kaggle Literature Organization. DocEng Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson
2020	J	`jnl`	COVID-19 Kaggle Literature Organization. CoRR Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson
2020	J	`jnl`	Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. CoRR Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean
2020	J	`jnl`	Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs. CoRR Catherine Ordun, Sanjay Purushotham, Edward Raff
2020	B	`conf`	Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams. ICTAI Wenbin Zhang, Mingli Zhang, Ji Zhang, Zhen Liu, Zhiyuan Chen, Jianwu Wang, Edward Raff, Enza Messina
2020	—	`conf`	Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors. ICDM (Workshops) Edward Raff, Bobby Filar, James Holt
2020	J	`jnl`	Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors. CoRR Edward Raff, Bobby Filar, James Holt
2020	J	`jnl`	Practical Cross-modal Manifold Alignment for Grounded Language. CoRR André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek
2020	J	`jnl`	Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning. CoRR Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe, Padraig Higgins, Kasra Darvish, Edward Raff, Don Engel, John Winder, Francis Ferraro, Cynthia Matuszek
2020	J	`jnl`	Research Reproducibility as a Survival Analysis. CoRR Edward Raff
2020	A*	`conf`	Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory. CVPR Arash Rahnama, André T. Nguyen, Edward Raff
2020	—	`conf`	Sampling Approach Matters: Active Learning for Robotic Language Acquisition. IEEE BigData Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek
2020	J	`jnl`	Sampling Approach Matters: Active Learning for Robotic Language Acquisition. CoRR Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek
2020	J	`jnl`	The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data. CoRR Catherine Ordun, Edward Raff, Sanjay Purushotham
2020	J	`jnl`	Trimming the Thorns of AI Fairness Research. IEEE Data Eng. Bull. Jared Sylvester, Edward Raff
2019	J	`jnl`	A New Burrows Wheeler Transform Markov Distance. CoRR Edward Raff, Charles Nicholas, Mark McLean
2019	A*	`conf`	A Step Toward Quantifying Independently Reproducible Machine Learning Research. NeurIPS Edward Raff
2019	J	`jnl`	A Step Toward Quantifying Independently Reproducible Machine Learning Research. CoRR Edward Raff
2019	A*	`conf`	Barrage of Random Transforms for Adversarially Robust Defense. CVPR Edward Raff, Jared Sylvester, Steven Forsyth, Mark McLean
2019	J	`jnl`	Connecting Lyapunov Control Theory to Adversarial Attacks. CoRR Arash Rahnama, André T. Nguyen, Edward Raff
2019	J	`jnl`	Heterogeneous Relational Kernel Learning. CoRR André T. Nguyen, Edward Raff
2019	J	`jnl`	KiloGrams: Very Large N-Grams for Malware Classification. CoRR Edward Raff, William Fleming, Richard Zak, Hyrum S. Anderson, Bill Finlayson, Charles Nicholas, Mark McLean
2019	—	`conf`	PyLZJD: An Easy to Use Tool for Machine Learning. SciPy Edward Raff, Joe Aurelio, Charles Nicholas
2019	J	`jnl`	Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory. CoRR Arash Rahnama, André T. Nguyen, Edward Raff
2019	—	`conf`	Would a File by Any Other Name Seem as Malicious? IEEE BigData André T. Nguyen, Edward Raff, Aaron Sant-Miller
2019	J	`jnl`	Would a File by Any Other Name Seem as Malicious? CoRR André T. Nguyen, Edward Raff, Aaron Sant-Miller
2018	J	`jnl`	Adversarial Attacks, Regression, and Numerical Stability Regularization. CoRR André T. Nguyen, Edward Raff
2018	J	`jnl`	An investigation of byte n-gram features for malware classification. J. Comput. Virol. Hacking Tech. Edward Raff, Richard Zak, Russell Cox, Jared Sylvester, Paul Yacci, Rebecca Ward, Anna Tracy, Mark McLean, Charles Nicholas
2018	—	`conf`	Dr. AI, Where Did You Get Your Degree? AIH@IJCAI (Revised Selected Papers) Edward Raff, Shannon Lantzy, Ezekiel J. Maier
2018	—	`conf`	Dr. AI, where did you get your degree? AIH@IJCAI Edward Raff, Shannon Lantzy, Ezekiel J. Maier
2018	A	`conf`	Engineering a Simplified 0-Bit Consistent Weighted Sampling. CIKM Edward Raff, Jared Sylvester, Charles Nicholas
2018	J	`jnl`	Engineering a Simplified 0-Bit Consistent Weighted Sampling. CoRR Edward Raff, Jared Sylvester, Charles Nicholas
2018	C	`conf`	Fair Forests: Regularized Tree Induction to Minimize Model Bias. AIES Edward Raff, Jared Sylvester, Steven Mills
2018	J	`jnl`	Gradient Reversal Against Discrimination. CoRR Edward Raff, Jared Sylvester
2018	B	`conf`	Gradient Reversal against Discrimination: A Fair Neural Network Learning Approach. DSAA Edward Raff, Jared Sylvester
2018	J	`jnl`	Growing and Retaining AI Talent for the United States Government. CoRR Edward Raff
2018	—	`conf`	Hash-Grams On Many-Cores and Skewed Distributions. IEEE BigData Edward Raff, Booz Allen Hamilton, Mark McLean
2018	B	`conf`	Hash-Grams: Faster N-Gram Features for Classification and Malware Detection. DocEng Edward Raff, Charles Nicholas
2018	J	`jnl`	Lempel-Ziv Jaccard Distance, an effective alternative to ssdeep and sdhash. Digit. Investig. Edward Raff, Charles Nicholas
2018	—	`conf`	Linear Models with Many Cores and CPUs: A Stochastic Atomic Update Scheme. IEEE BigData Edward Raff, Booz Allen Hamilton, Jared Sylvester
2018	—	`conf`	Malware Detection by Eating a Whole EXE. AAAI Workshops Edward Raff, Jon Barker, Jared Sylvester, Robert Brandon, Bryan Catanzaro, Charles K. Nicholas
2018	C	`conf`	Neural Fingerprint Enhancement. ICMLA Edward Raff
2018	J	`jnl`	Non-Negative Networks Against Adversarial Attacks. CoRR William Fleshman, Edward Raff, Jared Sylvester, Steven Forsyth, Mark McLean
2018	—	`conf`	Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. AAAI Fall Symposium: ALEC William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas
2018	—	`conf`	Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. MALWARE William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas
2018	J	`jnl`	Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. CoRR William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas
2018	J	`jnl`	Toward Metric Indexes for Incremental Insertion and Querying. CoRR Edward Raff, Charles Nicholas
2018	J	`jnl`	What About Applied Fairness? CoRR Jared Sylvester, Edward Raff
2017	A*	`conf`	An Alternative to NCD for Large Sequences, Lempel-Ziv Jaccard Distance. KDD Edward Raff, Charles K. Nicholas
2017	J	`jnl`	Fair Forests: Regularized Tree Induction to Minimize Model Bias. CoRR Edward Raff, Jared Sylvester, Steven Mills
2017	J	`jnl`	JSAT: Java Statistical Analysis Tool, a Library for Machine Learning. J. Mach. Learn. Res. Edward Raff
2017	—	`conf`	Learning the PE Header, Malware Detection with Minimal Domain Knowledge. AISec@CCS Edward Raff, Jared Sylvester, Charles Nicholas
2017	J	`jnl`	Learning the PE Header, Malware Detection with Minimal Domain Knowledge. CoRR Edward Raff, Jared Sylvester, Charles K. Nicholas
2017	J	`jnl`	Lempel-Ziv Jaccard Distance, an Effective Alternative to Ssdeep and Sdhash. CoRR Edward Raff, Charles K. Nicholas
2017	—	`conf`	Malware Classification and Class Imbalance via Stochastic Hashed LZJD. AISec@CCS Edward Raff, Charles Nicholas
2017	J	`jnl`	Malware Detection by Eating a Whole EXE. CoRR Edward Raff, Jon Barker, Jared Sylvester, Robert Brandon, Bryan Catanzaro, Charles K. Nicholas
2017	—	`conf`	What can N-grams learn for malware detection? MALWARE Richard Zak, Edward Raff, Charles Nicholas