174 citations · 356 across the 14 of their papers we have counts for
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eess.SY2023★ 174 cited
Scalable Learning of Intrusion Responses through Recursive Decomposition
Kim Hammar, Rolf Stadler
We study automated intrusion response for an IT infrastructure and formulate the interaction between an attacker and a defender as a partially observed stochastic game. To solve th…
cs.AI2023
Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure
Kim Hammar, Neil Dhir
We consider the problem of optimising an expensive-to-evaluate grey-box objective function, within a finite budget, where known side-information exists in the form of the causal st…
cs.GT2023★ 28 cited
Learning Near-Optimal Intrusion Responses Against Dynamic Attackers
Kim Hammar, Rolf Stadler
We study automated intrusion response and formulate the interaction between an attacker and a defender as an optimal stopping game where attack and defense strategies evolve throug…