Kim Hammar

According to our database, Kim Hammar authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning Near-Optimal Intrusion Responses Against Dynamic Attackers.

Kim Hammar, Rolf Stadler

IEEE Trans. Netw. Serv. Manag., February, 2024

Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games.

Tao Li, Kim Hammar, Rolf Stadler, Quanyan Zhu

CoRR, 2024

Automated Security Response through Online Learning with Adaptive Conjectures.

Kim Hammar, Tao Li, Rolf Stadler, Quanyan Zhu

CoRR, 2024

2023

Scalable Learning of Intrusion Responses through Recursive Decomposition.

Kim Hammar, Rolf Stadler

CoRR, 2023

Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure.

Kim Hammar, Neil Dhir

CoRR, 2023

Demonstrating a System for Dynamically Meeting Management Objectives on a Service Mesh.

Forough Shahab Samani, Kim Hammar, Rolf Stadler

Proceedings of the NOMS 2023, 2023

Digital Twins for Security Automation.

Kim Hammar, Rolf Stadler

Proceedings of the NOMS 2023, 2023

2022

Intrusion Prevention Through Optimal Stopping.

Kim Hammar, Rolf Stadler

IEEE Trans. Netw. Serv. Manag., 2022

Learning Security Strategies through Game Play and Optimal Stopping.

Kim Hammar, Rolf Stadler

CoRR, 2022

A System for Interactive Examination of Learned Security Policies.

Kim Hammar, Rolf Stadler

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

An Online Framework for Adapting Security Policies in Dynamic IT Environments.

Kim Hammar, Rolf Stadler

Proceedings of the 18th International Conference on Network and Service Management, 2022

2021

Learning Intrusion Prevention Policies through Optimal Stopping.

Kim Hammar, Rolf Stadler

Proceedings of the 17th International Conference on Network and Service Management, 2021

2020

Deep text classification of Instagram data using word embeddings and weak supervision.

Kim Hammar, Shatha Jaradat, Nima Dokoohaki, Mihhail Matskin

Web Intell., 2020

Finding Effective Security Strategies through Reinforcement Learning and Self-Play.

Kim Hammar, Rolf Stadler

Proceedings of the 16th International Conference on Network and Service Management, 2020

2019

TALS: A Framework for Text Analysis, Fine-Grained Annotation, Localisation and Semantic Segmentation.

Shatha Jaradat, Nima Dokoohaki, Ummul Wara, Mallu Goswami, Kim Hammar, Mihhail Matskin

Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2018

Deep Text Mining of Instagram Data without Strong Supervision.

Kim Hammar, Shatha Jaradat, Nima Dokoohaki, Mihhail Matskin

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Dynamic CNN Models for Fashion Recommendation in Instagram.

Shatha Jaradat, Nima Dokoohaki, Kim Hammar, Ummul Wara, Mihhail Matskin

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018