165 citations · 837 across the 89 of their papers we have counts for
103 papers
Simpler Methods Work Better for L1 Penalized Logistic Models and Large Datasets
Edward Raff, James Holt
Linear models with an -norm penalty remain state-of-the-art for high-dimensional () tasks, offering a straightforward method for solving real-world industry pro…
An Introduction to Compression-Based Machine Learning
John Hurwitz, Edward Raff, Charles K. Nicholas
Any lossless compression algorithm (like gzip) may be converted into a machine learning method, via either Normalized Compression Distance or the Minimum Description Length princip…
ML-Powered LDAP Reconnaissance Detection using Weak Supervision
Shaefer Drew, Edward Raff, Michael Brautbar +6
Lightweight Directory Access Protocol (LDAP) is a protocol that allows users to query and modify Active Directory (AD) data. By default, all users have read access to all AD data t…
JudgeSense: A Benchmark for Prompt Sensitivity in LLM-as-a-Judge Systems
Rohith Reddy Bellibatlu, Edward Raff, Wenbin Zhang
Large language models are widely used to judge the output of other language models, yet whether a judge returns the same verdict when the same request is worded differently remains…
ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling
Robert J. Joyce, Derek Everett, Maya Fuchs +2
Determining the family to which a malicious file belongs is an essential component of cyberattack investigation, attribution, and remediation. Performing this task manually is time…
Human-Readable Adversarial Prompts: An Investigation into LLM Vulnerabilities Using Situational Context
Nilanjana Das, Edward Raff, Aman Chadha +1
As the AI systems become deeply embedded in social media platforms, we've uncovered a concerning security vulnerability that goes beyond traditional adversarial attacks. It becomes…