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Kim Hammar
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Finding effective security strategies through reinforcement learning and self-play
K Hammar, R Stadler
2020 16th International Conference on Network and Service Management (CNSM), 1-9, 2020
422020
Deep Text Mining of Instagram Data Without Strong Supervision
K Hammar
KTH Royal Institute of Technology, 2018
342018
Horizontally scalable ml pipelines with a feature store
A Ormenisan, M Ismail, K Hammar, R Andersson, E Gebremeskel, ...
Proceedings of the 2nd SysML Conference, Palo Alto, CA, USA 31, 2019
19*2019
Learning intrusion prevention policies through optimal stopping
K Hammar, R Stadler
2021 17th International Conference on Network and Service Management (CNSM …, 2021
172021
Intrusion Prevention through Optimal Stopping
K Hammar, R Stadler
IEEE Transactions on Network and Service Management 2022, 2021
142021
Learning Security Strategies through Game Play and Optimal Stopping
K Hammar, R Stadler
International Conference on Machine Learning (ICML) Ml4Cyber Workshop 2022 …, 2022
92022
Dynamic CNN models for fashion recommendation in Instagram
S Jaradat, N Dokoohaki, K Hammar, U Wara, M Matskin
2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2018
82018
Feature store: The missing data layer in ML pipelines
K Hammar, J Dowling
URL: https://www. logicalclocks. com/feature-store, 2018
62018
An online framework for adapting security policies in dynamic it environments
K Hammar, R Stadler
2022 18th International Conference on Network and Service Management (CNSM …, 2022
52022
A System for Interactive Examination of Learned Security Policies
K Hammar, R Stadler
NOMS 2022 IEEE, 2022
52022
Digital twins for security automation
K Hammar, R Stadler
NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 1-6, 2023
42023
Learning near-optimal intrusion responses against dynamic attackers
K Hammar, R Stadler
IEEE Transactions on Network and Service Management 2023, 2023
42023
Deep text classification of Instagram data using word embeddings and weak supervision
K Hammar, S Jaradat, N Dokoohaki, M Matskin
Web Intelligence 18 (1), 53-67, 2020
42020
TALS: a framework for text analysis, fine-grained annotation, localisation and semantic segmentation
S Jaradat, N Dokoohaki, U Wara, M Goswami, K Hammar, M Matskin
2019 IEEE 43rd annual computer software and applications conference (COMPSAC …, 2019
32019
Scalable Learning of Intrusion Responses through Recursive Decomposition
K Hammar, R Stadler
International Conference on Decision and Game Theory for Security, 2023
22023
Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games
T Li, K Hammar, R Stadler, Q Zhu
arXiv preprint arXiv:2402.18781, 2024
12024
Automated Security Response through Online Learning with Adaptive Conjectures
K Hammar, T Li, R Stadler, Q Zhu
arXiv preprint arXiv:2402.12499, 2024
12024
Demonstrating a System for Dynamically Meeting Management Objectives on a Service Mesh
FS Samani, K Hammar, R Stadler
NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 1-3, 2023
12023
Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure
K Hammar, N Dhir
arXiv preprint arXiv:2309.02287, 2023
2023
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Articles 1–19