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2020 – today
- 2023
[c8]Tamás Vörös, Sean Paul Bergeron, Konstantin Berlin:
Web Content Filtering Through Knowledge Distillation of Large Language Models. CAMLIS 2023: 1-21- [c7]Tamás Vörös, Sean Paul Bergeron, Konstantin Berlin:
Web Content Filtering Through Knowledge Distillation of Large Language Models. WI/IAT 2023: 357-361 - [i12]Ben Gelman, Salma Taoufiq, Tamás Vörös, Konstantin Berlin:
That Escalated Quickly: An ML Framework for Alert Prioritization. CoRR abs/2302.06648 (2023) - [i11]Tamás Vörös, Sean Paul Bergeron, Konstantin Berlin:
Web Content Filtering through knowledge distillation of Large Language Models. CoRR abs/2305.05027 (2023) - 2021
- [c6]Awalin Sopan, Konstantin Berlin:
AI Total: Analyzing Security ML Models with Imperfect Data in Production. VizSec 2021: 10-14 - [i10]Awalin Sopan, Konstantin Berlin:
AI Total: Analyzing Security ML Models with Imperfect Data in Production. CoRR abs/2110.07028 (2021) - 2020
- [c5]Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin:
Learning from Context: A Multi-View Deep Learning Architecture for Malware Detection. SP (Workshops) 2020: 1-7 - [i9]Konstantin Berlin, Ajay Lakshminarayanarao:
A Simple and Agile Cloud Infrastructure to Support Cybersecurity Oriented Machine Learning Workflows. CoRR abs/2002.11828 (2020)
2010 – 2019
- 2019
- [c4]Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang:
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. USENIX Security Symposium 2019: 303-320 - [i8]Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang:
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. CoRR abs/1903.05700 (2019) - [i7]Felipe N. Ducau, Ethan M. Rudd, Tad M. Heppner, Alex Long, Konstantin Berlin:
SMART: Semantic Malware Attribute Relevance Tagging. CoRR abs/1905.06262 (2019) - [i6]Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin:
Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection. CoRR abs/1905.06987 (2019) - 2017
- [i5]Joshua Saxe, Konstantin Berlin:
eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys. CoRR abs/1702.08568 (2017) - 2016
- [i4]Konstantin Berlin, Joshua Saxe:
Improving Zero-Day Malware Testing Methodology Using Statistically Significant Time-Lagged Test Samples. CoRR abs/1608.00669 (2016) - 2015
- [c3]Konstantin Berlin, David Slater, Joshua Saxe:
Malicious Behavior Detection using Windows Audit Logs. AISec@CCS 2015: 35-44 - [c2]Joshua Saxe, Konstantin Berlin:
Deep neural network based malware detection using two dimensional binary program features. MALWARE 2015: 11-20 - [i3]Konstantin Berlin
, David Slater, Joshua Saxe:
Malicious Behavior Detection using Windows Audit Logs. CoRR abs/1506.04200 (2015) - [i2]Joshua Saxe, Konstantin Berlin:
Deep Neural Network Based Malware Detection Using Two Dimensional Binary Program Features. CoRR abs/1508.03096 (2015) - 2013
- [i1]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 abs/1306.2258 (2013) - 2012
- [j1]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): 1981-1996 (2012)
2000 – 2009
- 2003
- [c1]Konstantin Berlin, Jun Huan, Mary Jacob, Garima Kochhar, Jan F. Prins, William W. 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: 194-208
Coauthor Index
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