Konstantin Berlin

Deep neural network based malware detection using two dimensional binary program features

Konstantin Berlin, Joshua Saxe, Joshua Saxe, 2015, 2015 10th International Conference on Malicious and Unwanted Software (MALWARE).

Learning from Context: A Multi-View Deep Learning Architecture for Malware Detection

Ethan M. Rudd, Adarsh Kyadige, Konstantin Berlin, 2020, 2020 IEEE Security and Privacy Workshops (SPW).

Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection pdf

Ethan M. Rudd, Konstantin Berlin, Adarsh Kyadige, 2019, ArXiv.

ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation

Richard E. Harang, Ethan M. Rudd, Konstantin Berlin, 2019, USENIX Security Symposium.

eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys pdf

Konstantin Berlin, Joshua Saxe, Joshua Saxe, 2017, ArXiv.

Automatic Malware Description via Attribute Tagging and Similarity Embedding.

Ethan M. Rudd, Felipe N. Ducau, Tad M. Heppner, 2019, 1905.06262.

That Escalated Quickly: An ML Framework for Alert Prioritization

Konstantin Berlin, Ben U. Gelman, Salma Taoufiq, 2023, arXiv.org.

SMART: Semantic Malware Attribute Relevance Tagging pdf

Ethan M. Rudd, Konstantin Berlin, Felipe N. Ducau, 2019, ArXiv.

Web Content Filtering Through Knowledge Distillation of Large Language Models

Konstantin Berlin, Sean P. Bergeron, Tamás Vörös, 2023, 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

AI Total: Analyzing Security ML Models with Imperfect Data in Production

Awalin Sopan, Konstantin Berlin, Konstantin Berlin, 2021, 2021 IEEE Symposium on Visualization for Cyber Security (VizSec).