Konstantin Berlin

23 papers A* 1C 1Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Framework for Rapidly Developing and Deploying Protection Against Large Language Model Attacks. CAMLIS Adam Swanda, Amy Chang, Alexander Chen, Fraser Burch, Paul Kassianik, Konstantin Berlin
2025	J	`jnl`	A Framework for Rapidly Developing and Deploying Protection Against Large Language Model Attacks. CoRR Adam Swanda, Amy Chang, Alexander Chen, Fraser Burch, Paul Kassianik, Konstantin Berlin
2023	J	`jnl`	That Escalated Quickly: An ML Framework for Alert Prioritization. CoRR Ben Gelman, Salma Taoufiq, Tamás Vörös, Konstantin Berlin
2023	—	`conf`	Web Content Filtering Through Knowledge Distillation of Large Language Models. CAMLIS Tamás Vörös, Sean Paul Bergeron, Konstantin Berlin
2023	—	`conf`	Web Content Filtering Through Knowledge Distillation of Large Language Models. WI/IAT Tamás Vörös, Sean Paul Bergeron, Konstantin Berlin
2023	J	`jnl`	Web Content Filtering through knowledge distillation of Large Language Models. CoRR Tamás Vörös, Sean Paul Bergeron, Konstantin Berlin
2021	C	`conf`	AI Total: Analyzing Security ML Models with Imperfect Data in Production. VizSec Awalin Sopan, Konstantin Berlin
2021	J	`jnl`	AI Total: Analyzing Security ML Models with Imperfect Data in Production. CoRR Awalin Sopan, Konstantin Berlin
2020	J	`jnl`	A Simple and Agile Cloud Infrastructure to Support Cybersecurity Oriented Machine Learning Workflows. CoRR Konstantin Berlin, Ajay Lakshminarayanarao
2020	—	`conf`	Learning from Context: A Multi-View Deep Learning Architecture for Malware Detection. SP (Workshops) Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin
2019	A*	`conf`	ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. USENIX Security Symposium Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang
2019	J	`jnl`	ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. CoRR Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang
2019	J	`jnl`	Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection. CoRR Adarsh Kyadige, Ethan M. Rudd, Konstantin Berlin
2019	J	`jnl`	SMART: Semantic Malware Attribute Relevance Tagging. CoRR Felipe N. Ducau, Ethan M. Rudd, Tad M. Heppner, Alex Long, Konstantin Berlin
2017	J	`jnl`	eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys. CoRR Joshua Saxe, Konstantin Berlin
2016	J	`jnl`	Improving Zero-Day Malware Testing Methodology Using Statistically Significant Time-Lagged Test Samples. CoRR Konstantin Berlin, Joshua Saxe
2015	J	`jnl`	Deep Neural Network Based Malware Detection Using Two Dimensional Binary Program Features. CoRR Joshua Saxe, Konstantin Berlin
2015	—	`conf`	Deep neural network based malware detection using two dimensional binary program features. MALWARE Joshua Saxe, Konstantin Berlin
2015	—	`conf`	Malicious Behavior Detection using Windows Audit Logs. AISec@CCS Konstantin Berlin, David Slater, Joshua Saxe
2015	J	`jnl`	Malicious Behavior Detection using Windows Audit Logs. CoRR Konstantin Berlin, David Slater, Joshua Saxe
2013	J	`jnl`	Performance of a GPU-based Direct Summation Algorithm for Computation of Small Angle Scattering Profile. CoRR Konstantin Berlin, Nail A. Gumerov, Ramani Duraiswami, David Fushman
2012	J	`jnl`	A hierarchical algorithm for fast debye summation with applications to small angle scattering. J. Comput. Chem. Nail A. Gumerov, Konstantin Berlin, David Fushman, Ramani Duraiswami
2003	—	`conf`	Evaluating the Impact of Programming Language Features on the Performance of Parallel Applications on Cluster Architectures. LCPC Konstantin Berlin, Jun Huan, Mary Jacob, Garima Kochhar, Jan F. Prins, William W. Pugh, P. Sadayappan, Jaime Spacco, Chau-Wen Tseng