Dynamic CNN Models for Fashion Recommendation in Instagram. - Shatha Jaradat; Nima Dokoohaki; Kim Hammar; Ummul Wara; Mihhail Matskin (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Deep Text Mining of Instagram Data without Strong Supervision. - Kim Hammar; Shatha Jaradat; Nima Dokoohaki; Mihhail Matskin (WI, 2018)

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 (COMPSAC (2), 2019)

Finding Effective Security Strategies through Reinforcement Learning and Self-Play. - Kim Hammar; Rolf Stadler (CNSM, 2020)

Deep text classification of Instagram data using word embeddings and weak supervision. - Kim Hammar; Shatha Jaradat; Nima Dokoohaki; Mihhail Matskin (Web Intell., 2020)

Learning Intrusion Prevention Policies through Optimal Stopping. - Kim Hammar; Rolf Stadler (CNSM, 2021)

An Online Framework for Adapting Security Policies in Dynamic IT Environments. - Kim Hammar; Rolf Stadler (CNSM, 2022)

A System for Interactive Examination of Learned Security Policies. - Kim Hammar; Rolf Stadler (NOMS, 2022)

Learning Security Strategies through Game Play and Optimal Stopping. - Kim Hammar; Rolf Stadler (CoRR, 2022)

Intrusion Prevention Through Optimal Stopping. - Kim Hammar; Rolf Stadler (IEEE Trans. Netw. Serv. Manag., 2022)

Scalable Learning of Intrusion Response Through Recursive Decomposition. - Kim Hammar; Rolf Stadler (GameSec, 2023)

Digital Twins for Security Automation. - Kim Hammar; Rolf Stadler (NOMS, 2023)

Demonstrating a System for Dynamically Meeting Management Objectives on a Service Mesh. - Forough Shahab Samani; Kim Hammar; Rolf Stadler (NOMS, 2023)

Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure. - Kim Hammar; Neil Dhir (CoRR, 2023)

Scalable Learning of Intrusion Responses through Recursive Decomposition. - Kim Hammar; Rolf Stadler (CoRR, 2023)

Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games. - Tao Li 046; Kim Hammar; Rolf Stadler; Quanyan Zhu (CDC, 2024)

Intrusion Tolerance for Networked Systems through Two-Level Feedback Control. - Kim Hammar; Rolf Stadler (DSN, 2024)

Intrusion Tolerance as a Two-Level Game. - Kim Hammar; Rolf Stadler (GameSec, 2024)

Online Policy Adaptation for Networked Systems using Rollout. - Forough Shahab Samani; Kim Hammar; Rolf Stadler (NOMS, 2024)

Automated Security Response through Online Learning with Adaptive Conjectures. - Kim Hammar; Tao Li 046; Rolf Stadler; Quanyan Zhu (CoRR, 2024)

Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search. - Kim Hammar; Neil Dhir; Rolf Stadler (CoRR, 2024)

Optimal Security Response to Network Intrusions in IT Systems. - Kim Hammar (2024)

Learning Near-Optimal Intrusion Responses Against Dynamic Attackers. - Kim Hammar; Rolf Stadler (IEEE Trans. Netw. Serv. Manag., 2024)

Adaptive Security Response Strategies Through Conjectural Online Learning. - Kim Hammar; Tao Li 046; Rolf Stadler; Quanyan Zhu (IEEE Trans. Inf. Forensics Secur., 2025)

Optimal Security Response to Network Intrusions in IT Systems. - Kim Hammar (CoRR, 2025)

Feature-Based Belief Aggregation for Partially Observable Markov Decision Problems. - Yuchao Li; Kim Hammar; Dimitri P. Bertsekas (CoRR, 2025)

Adaptive Network Security Policies via Belief Aggregation and Rollout. - Kim Hammar; Yuchao Li; Tansu Alpcan; Emil C. Lupu; Dimitri P. Bertsekas (CoRR, 2025)

Incident Response Planning Using a Lightweight Large Language Model with Reduced Hallucination. - Kim Hammar; Tansu Alpcan; Emil C. Lupu (CoRR, 2025)

Online Incident Response Planning under Model Misspecification through Bayesian Learning and Belief Quantization. - Kim Hammar; Tao Li (CoRR, 2025)