Konstantin Berlin

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 18

Top Topics

Convolutional Neural Network

Language Modelling

Malware Detection

Semantic Browsing

Top Venues

USENIX Security Symposium

Publications

Tamás Vörös, Sean Paul Bergeron, Konstantin Berlin
Web Content Filtering through knowledge distillation of Large Language Models. CoRR (2023)
Ben Gelman, Salma Taoufiq, Tamás Vörös, Konstantin Berlin
That Escalated Quickly: An ML Framework for Alert Prioritization. CoRR (2023)
Tamás Vörös, Sean Paul Bergeron, Konstantin Berlin
Web Content Filtering Through Knowledge Distillation of Large Language Models. CAMLIS (2023)
Tamás Vörös, Sean Paul Bergeron, Konstantin Berlin
Web Content Filtering Through Knowledge Distillation of Large Language Models. WI/IAT (2023)
Awalin Sopan, Konstantin Berlin
AI Total: Analyzing Security ML Models with Imperfect Data in Production. CoRR (2021)
Awalin Sopan, Konstantin Berlin
AI Total: Analyzing Security ML Models with Imperfect Data in Production. VizSec (2021)
Konstantin Berlin, Ajay Lakshminarayanarao
A Simple and Agile Cloud Infrastructure to Support Cybersecurity Oriented Machine Learning Workflows. CoRR (2020)
Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin
Learning from Context: A Multi-View Deep Learning Architecture for Malware Detection. SP Workshops (2020)
Felipe N. Ducau, Ethan M. Rudd, Tad M. Heppner, Alex Long, Konstantin Berlin
SMART: Semantic Malware Attribute Relevance Tagging. CoRR (2019)
Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. USENIX Security Symposium (2019)
Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. CoRR (2019)
Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin
Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection. CoRR (2019)
Joshua Saxe, Konstantin Berlin
eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys. CoRR (2017)
Konstantin Berlin, Joshua Saxe
Improving Zero-Day Malware Testing Methodology Using Statistically Significant Time-Lagged Test Samples. CoRR (2016)
Joshua Saxe, Konstantin Berlin
Deep neural network based malware detection using two dimensional binary program features. MALWARE (2015)
Konstantin Berlin, David Slater, Joshua Saxe
Malicious Behavior Detection using Windows Audit Logs. AISec@CCS (2015)
Joshua Saxe, Konstantin Berlin
Deep Neural Network Based Malware Detection Using Two Dimensional Binary Program Features. CoRR (2015)
Konstantin Berlin, David Slater, Joshua Saxe
Malicious Behavior Detection using Windows Audit Logs. CoRR (2015)
Konstantin Berlin, Nail A. Gumerov, Ramani Duraiswami, David Fushman
Performance of a GPU-based Direct Summation Algorithm for Computation of Small Angle Scattering Profile. CoRR (2013)
Nail A. Gumerov, Konstantin Berlin, David Fushman, Ramani Duraiswami
A hierarchical algorithm for fast debye summation with applications to small angle scattering. J. Comput. Chem. 33 (25) (2012)
Konstantin Berlin, Jun Huan, Mary Jacob, Garima Kochhar, Jan F. Prins, William Pugh, P. Sadayappan, Jaime Spacco, Chau-Wen Tseng
Evaluating the Impact of Programming Language Features on the Performance of Parallel Applications on Cluster Architectures. LCPC (2003)