Publications

Preprints

2024: Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games; Tao Li, Kim Hammar, Rolf Stadler, and Quanyan Zhu arXiv(preprint) bib
2024: Automated Security Response through Online Learning with Adaptive Conjectures; Kim Hammar, Tao Li, Rolf Stadler, and Quanyan Zhu arXiv(preprint) bib

Journals

2023: Learning Near-Optimal Intrusion Responses Against Dynamic Attackers; Journal paper, TNSM 2023: IEEE Transactions on Network and Service Management (IEEE TNSM). Kim Hammar and Rolf Stadler IEEE Proceedings arXiv(preprint) PDF(preprint) bib
2022: Intrusion Prevention through Optimal Stopping; Journal paper, TNSM 2022: IEEE Transactions on Network and Service Management (IEEE TNSM), special issue on recent advances in network security management. Kim Hammar and Rolf Stadler IEEE Proceedings arXiv(preprint) PDF(preprint) bib
2020: Deep text classification of Instagram data using word embeddings and weak supervision; Journal paper, Web Intelligence 2020. Kim Hammar, Shatha Jaradat, Nima Dokoohaki and Mihhail Matskin Link PDF bib

Conferences

2024: Intrusion Tolerance for Networked Systems through Two-Level Feedback Control; Conference paper, 54th IEEE/IFIP Dependable Systems and Networks Conference (DSN’24), Brisbane, Australia, June 24-27. Kim Hammar and Rolf Stadler arXiv(preprint) bib
2024: Online Policy Adaptation for Networked Systems using Rollout; Conference paper, NOMS 2024: IEEE/IFIP Network Operations and Management Symposium, Seoul, South Korea May 6-10. Forough Shahab Samani, Kim Hammar and Rolf Stadler
2023: Scalable Learning of Intrusion Responses through Recursive Decomposition; Conference paper, GameSec 2023: International Conference on Decision and Game Theory for Security, Avignon, France, Oct 18-20. Kim Hammar and Rolf Stadler Springer book chapter arXiv(preprint) bib
2023: Digital Twins for Security Automation; Conference paper, NOMS 2023: IEEE/IFIP Network Operations and Management Symposium, Miami, USA May 8-12. Kim Hammar and Rolf Stadler IEEE Proceedings PDF(preprint) bib
2023: Demonstrating a System for Dynamically Meeting Management Objectives on a Service Mesh; Conference paper, NOMS 2023: IEEE/IFIP Network Operations and Management Symposium, Miami, USA May 8-12. Forough Shahab Samani, Kim Hammar and Rolf Stadler IEEE Proceedings PDF(preprint) bib
2022: An Online Framework for Adapting Security Policies in Dynamic IT Environments; Conference paper, CNSM 2022: International Conference on Network and Service Management, Thessaloniki, Greece October 31 - November 4. Kim Hammar and Rolf Stadler IEEE Proceedings IFIP Open Library Conference Proceedings IFIP Open Library PDF PDF(preprint) bib
2022: Learning Security Strategies through Game Play and Optimal Stopping; Conference paper, ICML Ml4Cyber Workshop 2022: International Conference on Machine Learning, Baltimore, USA July 17-23. Kim Hammar and Rolf Stadler PDF(extended version preprint) Camera ready version
2022: A System for Interactive Examination of Learned Security Policies; (Best demonstration paper award); Diploma; Conference paper, NOMS 2022: IEEE/IFIP Network Operations and Management Symposium, Budapest, Hungary April 25-29. Kim Hammar and Rolf Stadler Video IEEE Proceedings PDF(preprint) arXiv(preprint) bib
2021: Learning Intrusion Prevention Policies through Optimal Stopping; Conference paper, CNSM 2021: International Conference on Network and Service Management, Izmir, Turkey October 25-29. Kim Hammar and Rolf Stadler IFIP Open Library Conference Proceedings IFIP Open Library PDF IEEE Proceedings PDF arXiv(preprint) PDF(preprint) bib
2020: Finding Effective Security Strategies through Reinforcement Learning and Self-Play; Conference paper, CNSM 2020: International Conference on Network and Service Management, Izmir, Turkey November 2-6. Kim Hammar and Rolf Stadler IEEE Proceedings IFIP Open Library Conference Proceedings arXiv(preprint) PDF(preprint) bib
2019: TALS: A Framework For Text Analysis, Fine-Grained Annotation, Localisation and Semantic Segmentation; Conference paper, COMPSAC 2019: Data Driven Intelligence for a Smarter World Hosted by Marquette University, Milwaukee, Wisconsin, USA July 15-19. Shatha Jaradat, Nima Dokoohaki, Ummal Wara, Mallu Goswami, Kim Hammar and Mihhail Matskin Link bib
2019: Horizontally Scalable ML Pipelines with a Feature Store; Conference paper, Demo track, SysML Conference, March 31 - April 2 2019, Stanford CA. Alexandru A. Ormenisan, Mahmoud Ismail, Kim Hammar, Robin Andersson, Ermias Gebremeskel, Theofilos Kakantousis, Antonios Kouzoupis, Fabio Buso, Gautier Berthou, Jim Dowling and Seif Haridi. Link PDF
2018: Dynamic CNN Models For Fashion Recommendation in Instagram; Conference Paper, International Conference on Social Computing and Networking (SocialCom 2018), 11-13 Dec. 2018, Melbourne, Australia. Shatha Jaradat, Nima Dokoohaki, Kim Hammar, Ummul Wara and Mihhail Matskin Link bib
2018: Deep Text Mining of Instagram Data Without Strong Supervision; Conference Paper, Web Intelligence Conference 2018, Santiago Chile. Kim Hammar, Shatha Jaradat, Nima Dokoohaki and Mihhail Matskin Link PDF ArXiv bib

Workshops

2022: Learning Security Strategies through Game Play and Optimal Stopping; Workshop paper, ML4Cyber workshop ICML 2022, Baltimore USA, July 17-23. Kim Hammar and Rolf Stadler PDF

Technical reports

2023: Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure; Kim Hammar and Neil Dhir arXiv(preprint) bib

Posters

2023: Learning Near-Optimal Intrusion Responses Against Dynamic Attackers; CDIS pring conference 2023, Stockholm, Sweden May 25. Kim Hammar and Rolf Stadler PDF
2023: Demonstrating a System for Dynamically Meeting Management Objectives on a Service Mesh; NOMS 2023: IEEE/IFIP Network Operations and Management Symposium, Miami, USA May 8-12. Forough Shahab Samani, Kim Hammar and Rolf Stadler PDF
2022: Intrusion Prevention through Optimal Stopping; Poster, KTH EECS Summer Conference 8 June 2022. Kim Hammar and Rolf Stadler PDF
2022: Intrusion Prevention through Optimal Stopping; Poster, CDIS Spring Conference 24 May 2022. Kim Hammar and Rolf Stadler PDF
2022: Intrusion Prevention through Optimal Stopping; Poster, Digital Futures Machine Learning Day 17 Jan 2022. Kim Hammar and Rolf Stadler PDF
2021: Learning Intrusion Prevention Policies through Optimal Stopping; Poster, CIFAR Deep Learning + Reinforcement Learning (DLRL) Summer School 2021. Kim Hammar and Rolf Stadler PDF

External Blog Posts

2019: Guide to File Formats for Machine Learning: Columnar, Training, and Inferencing; Blog post, 25 Oct 2019. Jim Dowling, Moritz Meister, and Kim Hammar Link
2018: Feature Store: the missing data layer in ML pipelines?; Blog post, 30 Dec 2018. Kim Hammar and Jim Dowling Link bib
2018: Goodbye Horovod, Hello CollectiveAllReduce; Blog post, 22 Oct 2018. Robin Andersson, Jim Dowling, Ermias Gebremeskel and Kim Hammar Link

Theses

2018: Deep Text Mining of Instagram Data Without Strong Supervision; Master’s Thesis, KTH School of Information and Communication Technology (ICT). Kim Hammar Link PDF bib
2016: Integrating Monitoring Systems - Pre-Study; Bachelor’s Thesis, KTH School of Information and Communication Technology (ICT). Kim Hammar and Marcus Blom Link PDF bib

Other

2021: An RCE Exploit of a Remote SLD Resolver in Prolog; 18 June 2021. Kim Hammar PDF
2020: Using Reinforcement Learning in Self-Driving Systems; 28 May 2020. A PoC. Forough Shahab and Kim Hammar PDF
2018: Programming the Semantic Web; 12 Jan 2018. A Tutorial. Kim Hammar PDF
2017: Distributed Human Activity Recognition; Dec 2017. Scalable Deep Learning Course Project at KTH. (Best project award, awarded a graphics card) ; Kim Hammar and Konstantin Sozinov Link
2017: Machine Learning for Failure Detection in Distributed Systems; 23 Nov 2017. A project report. Kim Hammar and Konstantin Sozinov PDF
2017: Conflict free p2p replicated datatypes; 22 May 2017. A project report. Kim Hammar and Maxime Dufour PDF
2017: Linearizable Key-Value Store; 12 Mar 2017. A project report. Kim Hammar and Konstantin Sozinov PDF