13 citations · 41 across the 25 of their papers we have counts for
7 papers · 1 filter
Budgeted Experiment Design for Causal Structure Learning
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash +1
We study the problem of causal structure learning when the experimenter is limited to perform at most non-adaptive experiments of size . We formulate the problem of finding…
A Covert Queueing Channel in FCFS Schedulers
AmirEmad Ghassami, Negar Kiyavash
We study covert queueing channels (CQCs), which are a kind of covert timing channel that may be exploited in shared queues across supposedly isolated users. In our system model, a…
Learning Causal Structures Using Regression Invariance
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash +1
We study causal inference in a multi-environment setting, in which the functional relations for producing the variables from their direct causes remain the same across environments…
A Reconnaissance Attack Mechanism for Fixed-Priority Real-Time Systems
Chien-Ying Chen, AmirEmad Ghassami, Sibin Mohan +4
In real-time embedded systems (RTS), failures due to security breaches can cause serious damage to the system, the environment and/or injury to humans. Therefore, it is very import…
Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash
We study the problem of causal structure learning over a set of random variables when the experimenter is allowed to perform at most experiments in a non-adaptive manner. We co…
Interaction Information for Causal Inference: The Case of Directed Triangle
AmirEmad Ghassami, Negar Kiyavash
Interaction information is one of the multivariate generalizations of mutual information, which expresses the amount information shared among a set of variables, beyond the informa…