Konstantin Berlin
Konstantin Berlin
Head of AI at Sophos
Verified email at - Homepage
Cited by
Cited by
Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation
S Koren, BP Walenz, K Berlin, JR Miller, NH Bergman, AM Phillippy
Genome research 27 (5), 722-736, 2017
Assembling large genomes with single-molecule sequencing and locality-sensitive hashing
K Berlin, S Koren, CS Chin, JP Drake, JM Landolin, AM Phillippy
Nature biotechnology 33 (6), 623-630, 2015
Deep neural network based malware detection using two dimensional binary program features
J Saxe, K Berlin
10th International Conference on Malicious and Unwanted Software (MALWARE …, 2015
eXpose: A character-level convolutional neural network with embeddings for detecting malicious URLs, file paths and registry keys
J Saxe, K Berlin
arXiv preprint arXiv:1702.08568, 2017
Recovering a representative conformational ensemble from underdetermined macromolecular structural data
K Berlin, CA Castaneda, D Schneidman-Duhovny, A Sali, A Nava-Tudela, ...
Journal of the American Chemical Society 135 (44), 16595-16609, 2013
Malicious behavior detection using windows audit logs
K Berlin, D Slater, J Saxe
Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security …, 2015
Methods and apparatus for machine learning based malware detection
JD Saxe, K Berlin
US Patent 9,690,938, 2017
Deriving quantitative dynamics information for proteins and RNAs using ROTDIF with a graphical user interface
K Berlin, A Longhini, TK Dayie, D Fushman
Journal of biomolecular NMR 57, 333-352, 2013
Improvement and analysis of computational methods for prediction of residual dipolar couplings
K Berlin, DP O'Leary, D Fushman
Journal of Magnetic Resonance 201 (1), 25-33, 2009
Evaluating the impact of programming language features on the performance of parallel applications on cluster architectures
K Berlin, J Huan, M Jacob, G Kochhar, J Prins, B Pugh, P Sadayappan, ...
Languages and Compilers for Parallel Computing, 194-208, 2004
Methods and apparatus for detecting and identifying malware by mapping feature data into a semantic space
K Berlin
US Patent 10,972,495, 2021
A hierarchical algorithm for fast Debye summation with applications to small angle scattering
NA Gumerov, K Berlin, D Fushman, R Duraiswami
Journal of computational chemistry 33 (25), 1981-1996, 2012
Methods and apparatus for machine learning based malware detection
JD Saxe, K Berlin
US Patent 9,910,986, 2018
Structural assembly of molecular complexes based on residual dipolar couplings
K Berlin, DP O’Leary, D Fushman
Journal of the American Chemical Society 132 (26), 8961-8972, 2010
{ALOHA}: Auxiliary Loss Optimization for Hypothesis Augmentation
EM Rudd, FN Ducau, C Wild, K Berlin, R Harang
28th USENIX Security Symposium (USENIX Security 19), 303-320, 2019
Information content of long-range NMR data for the characterization of conformational heterogeneity
W Andrałojć, K Berlin, D Fushman, C Luchinat, G Parigi, E Ravera, ...
Journal of biomolecular NMR 62, 353-371, 2015
Automatic malware description via attribute tagging and similarity embedding
FN Ducau, EM Rudd, TM Heppner, A Long, K Berlin
arXiv preprint arXiv:1905.06262, 2019
Learning from context: A multi-view deep learning architecture for malware detection
A Kyadige, EM Rudd, K Berlin
2020 IEEE Security and Privacy Workshops (SPW), 1-7, 2020
Attribute relevance tagging in malware recognition
FN Ducau, K Berlin
US Patent 11,714,905, 2023
Fast approximations of the rotational diffusion tensor and their application to structural assembly of molecular complexes
K Berlin, DP O'Leary, D Fushman
Proteins: Structure, Function, and Bioinformatics, 2011
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