We present Self-Driven Strategy Learning (sdsl), a lightweight
online le...
A rigorous formalization of desired system requirements is indispensable...
We present a deep learning approach for repairing sequential circuits ag...
We analyze the convergence of the k-opinion Undecided State Dynamics (US...
Hyperproperties relate multiple computation traces to each other. Model
...
We study the generalization abilities of language models when translatin...
In this paper, we study the computation of how much an input token in a
...
An enforcement mechanism monitors a reactive system for undesired behavi...
Constructing training data for symbolic reasoning domains is challenging...
Model checkers provide algorithms for proving that a mathematical model ...
We train hierarchical Transformers on the task of synthesizing hardware
...
We present a self-stabilising phase clock for population protocols. In t...
We studied the hyperlogic HyperQPTL, which combines the concepts of trac...
Hyperproperties, such as non-interference and observational determinism,...
Hyperproperties, which generalize trace properties by relating multiple
...
We show that a deep neural network can learn the semantics of linear-tim...
We present RVHyper, a runtime verification tool for hyperproperties.
Hyp...
Verifying hyperproperties at runtime is a challenging problem as
hyperpr...
Hyperproperties are properties of sets of computation traces. In this pa...
We study the reactive synthesis problem for hyperproperties given as for...
Hyperproperties are properties that refer to multiple computation traces...
Hyperproperties, such as non-interference and observational determinism,...