| The Abel integral equations in distribution C Li, CP Li, B Kacsmar, R Lacroix, K Tilbury Adv. Anal 2, 88-104, 2017 | 15 | 2017 |
| Caring about sharing: User perceptions of multiparty data sharing B Kacsmar, K Tilbury, M Mazmudar, F Kerschbaum 31st USENIX Security Symposium (USENIX Security 22), 899-916, 2022 | 14 | 2022 |
| Comprehension from chaos: Towards informed consent for private computation B Kacsmar, V Duddu, K Tilbury, B Ur, F Kerschbaum Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | 9* | 2023 |
| Towards a better understanding of learning with multiagent teams D Radke, K Larson, T Brecht, K Tilbury arXiv preprint arXiv:2306.16205, 2023 | 5 | 2023 |
| Multi-agent reinforcement learning and human social factors in climate change mitigation K Tilbury, J Hoey Tackling Climate Change with Machine Learning Workshop, NeurIPS, 2020., 2020 | 3 | 2020 |
| Learning to learn group alignment: A self-tuning credo framework with multiagent teams D Radke, K Tilbury arXiv preprint arXiv:2304.07337, 2023 | 2 | 2023 |
| Identity and Dynamic Teams in Social Dilemmas K Tilbury, J Hoey Workshop on Ad Hoc Teamwork (WAHT), IJCAI, 2022, 2022 | 2 | 2022 |
| The Human Effect Requires Affect: Addressing Social-Psychological Factors of Climate Change with Machine Learning K Tilbury, J Hoey Challenges and Opportunities for Multi-Agent Reinforcement Learning (COMARL …, 2020 | 1 | 2020 |
| Word Embeddings for Domain Specific Semantic Relatedness K Tilbury Master’s thesis, Dalhousie University, 2018 | 1 | 2018 |
| Towards Safety in Multi-agent Reinforcement Learning through Security and Privacy by Design K Tilbury, B Kacsmar, J Hoey Coordination and Cooperation for Multi-Agent Reinforcement Learning Methods …, 0 | | |