Philip Tully

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Anders Lansnerprofessor of comptuter science, Dept of Mathematics, Stockholm university and KTHVerified email at kth.se
Matthias HennigUniversity of EdinburghVerified email at ed.ac.uk
Henrik LindénAssistant professor, University of CopenhagenVerified email at sund.ku.dk
Steve FurberProfessor of Computer Engineering, Department of Computer Science, The University of Manchester, UKVerified email at manchester.ac.uk
James KnightResearch Fellow, The University of SussexVerified email at sussex.ac.uk
Bernhard KaplanNodar, Inc.Verified email at nodarsensor.com
Jeanette Hellgren KotaleskiKTH Royal Institute of TechnologyVerified email at kth.se
pierre berthetdata scientistVerified email at psykologi.uio.no
Mohammad Saidur RahmanPh.D. Candidate, ESL Global Cybersecurity Institute at Rochester Institute of TechnologyVerified email at mail.rit.edu
Ethan M. Rudd, PhDGoogleVerified email at google.com

Philip Tully

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Cybersecurity Data Science Machine Learning Computational Neuroscience Neuroinformatics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Weaponizing Data Science for Social Engineering: Automated E2E Spearphishing on Twitter J Seymour, PJ Tully Black Hat USA 2016, DEF CON 24, 2016	118	2016
Synaptic and nonsynaptic plasticity approximating probabilistic inference PJ Tully, MH Hennig, A Lansner Frontiers in synaptic neuroscience 6, 8, 2014	56	2014
Spike-based Bayesian-Hebbian learning of temporal sequences PJ Tully, H Lindén, MH Hennig, A Lansner PLoS computational biology 12 (5), e1004954, 2016	44	2016
Generative models for spear phishing posts on social media J Seymour, P Tully arXiv preprint arXiv:1802.05196, 2018	38	2018
Large-scale simulations of plastic neural networks on neuromorphic hardware JC Knight, PJ Tully, BA Kaplan, A Lansner, SB Furber Frontiers in neuroanatomy 10, 37, 2016	24	2016
Functional relevance of different basal ganglia pathways investigated in a spiking model with reward dependent plasticity P Berthet, M Lindahl, PJ Tully, J Hellgren-Kotaleski, A Lansner Frontiers in Neural Circuits 10, 53, 2016	22	2016
Methods for automated social phishing J Foster, M Price, CB Cullison, P Tully, JJ Seymour III US Patent App. 15/944,254, 2019	10	2019
Repurposing Neural Networks to Generate Synthetic Media for Information Operations P Tully, L Foster Black Hat USA 2020, 2020	7	2020
Transformers for end-to-end infosec tasks: A feasibility study EM Rudd, MS Rahman, P Tully Proceedings of the 1st Workshop on Robust Malware Analysis, 21-31, 2022	5	2022
Spike-Based Bayesian-Hebbian Learning in Cortical and Subcortical Microcircuits P Tully KTH Royal Institute of Technology, 2017	2	2017
Probabilistic computation underlying sequence learning in a spiking attractor memory network P Tully, H Lindén, MH Hennig, A Lansner BMC Neuroscience 14, 1-2, 2013	2	2013
Systems and methods for automated cybersecurity analysis of extracted binary string sets P Tully, M Haigh, J Gibble, M Sikorski US Patent 11,556,640, 2023	1	2023
A Picture is Worth a Thousand Words, Literally: Deep Neural Networks for Social Stego P Tully, MT Raggo

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