Evaluating the Impact of Programming Language Features on the Performance of Parallel Applications on Cluster Architectures. - Konstantin Berlin; Jun Huan; Mary Jacob; Garima Kochhar; Jan F. Prins; William W. Pugh; P. Sadayappan; Jaime Spacco; Chau-Wen Tseng (LCPC, 2003)

A hierarchical algorithm for fast debye summation with applications to small angle scattering. - Nail A. Gumerov; Konstantin Berlin; David Fushman; Ramani Duraiswami (J. Comput. Chem., 2012)

Performance of a GPU-based Direct Summation Algorithm for Computation of Small Angle Scattering Profile. - Konstantin Berlin; Nail A. Gumerov; Ramani Duraiswami; David Fushman (CoRR, 2013)

Malicious Behavior Detection using Windows Audit Logs. - Konstantin Berlin; David Slater; Joshua Saxe (AISec@CCS, 2015)

Deep neural network based malware detection using two dimensional binary program features. - Joshua Saxe; Konstantin Berlin (MALWARE, 2015)

Improving Zero-Day Malware Testing Methodology Using Statistically Significant Time-Lagged Test Samples. - Konstantin Berlin; Joshua Saxe (CoRR, 2016)

eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys. - Joshua Saxe; Konstantin Berlin (CoRR, 2017)

ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. - Ethan M. Rudd; Felipe N. Ducau; Cody Wild; Konstantin Berlin; Richard E. Harang (USENIX Security Symposium, 2019)

SMART: Semantic Malware Attribute Relevance Tagging. - Felipe N. Ducau; Ethan M. Rudd; Tad M. Heppner; Alex Long; Konstantin Berlin (CoRR, 2019)

Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection. - Adarsh Kyadige; Ethan M. Rudd; Konstantin Berlin (CoRR, 2019)

Learning from Context: A Multi-View Deep Learning Architecture for Malware Detection. - Adarsh Kyadige; Ethan M. Rudd; Konstantin Berlin (SP (Workshops), 2020)

A Simple and Agile Cloud Infrastructure to Support Cybersecurity Oriented Machine Learning Workflows. - Konstantin Berlin; Ajay Lakshminarayanarao (CoRR, 2020)

AI Total: Analyzing Security ML Models with Imperfect Data in Production. - Awalin Sopan; Konstantin Berlin (VizSec, 2021)

Web Content Filtering Through Knowledge Distillation of Large Language Models. - Tamás Vörös; Sean Paul Bergeron; Konstantin Berlin (WI/IAT, 2023)

That Escalated Quickly: An ML Framework for Alert Prioritization. - Ben Gelman; Salma Taoufiq; Tamás Vörös; Konstantin Berlin (CoRR, 2023)