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Kim Hammar
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2020 – today
- 2024
- [j3]Kim Hammar
, Rolf Stadler
:
Learning Near-Optimal Intrusion Responses Against Dynamic Attackers. IEEE Trans. Netw. Serv. Manag. 21(1): 1158-1177 (2024) - [c10]Forough Shahab Samani, Kim Hammar, Rolf Stadler:
Online Policy Adaptation for Networked Systems using Rollout. NOMS 2024: 1-9 - [i12]Kim Hammar, Tao Li, Rolf Stadler, Quanyan Zhu:
Automated Security Response through Online Learning with Adaptive Conjectures. CoRR abs/2402.12499 (2024) - [i11]Tao Li, Kim Hammar, Rolf Stadler, Quanyan Zhu:
Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games. CoRR abs/2402.18781 (2024) - [i10]Kim Hammar, Rolf Stadler:
Intrusion Tolerance for Networked Systems through Two-Level Feedback Control. CoRR abs/2404.01741 (2024) - 2023
- [c9]Kim Hammar, Rolf Stadler:
Digital Twins for Security Automation. NOMS 2023: 1-6 - [c8]Forough Shahab Samani, Kim Hammar, Rolf Stadler:
Demonstrating a System for Dynamically Meeting Management Objectives on a Service Mesh. NOMS 2023: 1-3 - [i9]Kim Hammar, Rolf Stadler:
Learning Near-Optimal Intrusion Responses Against Dynamic Attackers. CoRR abs/2301.06085 (2023) - [i8]Kim Hammar, Neil Dhir:
Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure. CoRR abs/2309.02287 (2023) - [i7]Kim Hammar, Rolf Stadler:
Scalable Learning of Intrusion Responses through Recursive Decomposition. CoRR abs/2309.03292 (2023) - 2022
- [j2]Kim Hammar
, Rolf Stadler
:
Intrusion Prevention Through Optimal Stopping. IEEE Trans. Netw. Serv. Manag. 19(3): 2333-2348 (2022) - [c7]Kim Hammar, Rolf Stadler:
An Online Framework for Adapting Security Policies in Dynamic IT Environments. CNSM 2022: 359-363 - [c6]Kim Hammar, Rolf Stadler:
A System for Interactive Examination of Learned Security Policies. NOMS 2022: 1-3 - [i6]Kim Hammar, Rolf Stadler:
A System for Interactive Examination of Learned Security Policies. CoRR abs/2204.01126 (2022) - [i5]Kim Hammar, Rolf Stadler:
Learning Security Strategies through Game Play and Optimal Stopping. CoRR abs/2205.14694 (2022) - 2021
- [c5]Kim Hammar, Rolf Stadler:
Learning Intrusion Prevention Policies through Optimal Stopping. CNSM 2021: 509-517 - [i4]Kim Hammar, Rolf Stadler:
Learning Intrusion Prevention Policies through Optimal Stopping. CoRR abs/2106.07160 (2021) - [i3]Kim Hammar, Rolf Stadler:
Intrusion Prevention through Optimal Stopping. CoRR abs/2111.00289 (2021) - 2020
- [j1]Kim Hammar, Shatha Jaradat, Nima Dokoohaki
, Mihhail Matskin:
Deep text classification of Instagram data using word embeddings and weak supervision. Web Intell. 18(1): 53-67 (2020) - [c4]Kim Hammar, Rolf Stadler:
Finding Effective Security Strategies through Reinforcement Learning and Self-Play. CNSM 2020: 1-9 - [i2]Kim Hammar, Rolf Stadler:
Finding Effective Security Strategies through Reinforcement Learning and Self-Play. CoRR abs/2009.08120 (2020)
2010 – 2019
- 2019
- [c3]Shatha Jaradat, Nima Dokoohaki
, Ummul Wara, Mallu Goswami, Kim Hammar, Mihhail Matskin:
TALS: A Framework for Text Analysis, Fine-Grained Annotation, Localisation and Semantic Segmentation. COMPSAC (2) 2019: 201-206 - [i1]Kim Hammar, Shatha Jaradat, Nima Dokoohaki, Mihhail Matskin:
Deep Text Mining of Instagram Data Without Strong Supervision. CoRR abs/1909.10812 (2019) - 2018
- [c2]Shatha Jaradat, Nima Dokoohaki
, Kim Hammar, Ummul Wara, Mihhail Matskin:
Dynamic CNN Models for Fashion Recommendation in Instagram. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 1144-1151 - [c1]Kim Hammar, Shatha Jaradat, Nima Dokoohaki
, Mihhail Matskin:
Deep Text Mining of Instagram Data without Strong Supervision. WI 2018: 158-165
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