Towards bounded synthesis of resilient supervisors

L Lin, Y Zhu, R Su - 2019 IEEE 58th conference on decision …, 2019 - ieeexplore.ieee.org
In this paper, we investigate the security approach of synthesizing resilient supervisors
against combined actuator and sensor attacks, for the subclass of cyber-physical systems …

Learning first-order definable concepts over structures of small degree

M Grohe, M Ritzert - 2017 32nd annual ACM/IEEE symposium …, 2017 - ieeexplore.ieee.org
We consider a declarative framework for machine learning where concepts and hypotheses
are defined by formulas of a logic over some “background structure”. We show that within …

[HTML][HTML] The QBF gallery: Behind the scenes

F Lonsing, M Seidl, A Van Gelder - Artificial Intelligence, 2016 - Elsevier
Over the last few years, much progress has been made in the theory and practice of solving
quantified Boolean formulas (QBF). Novel solvers have been presented that either …

Specification and Automatic Verification of Computational Reductions

J Grange, F Vehlken, N Vortmeier, T Zeume - arXiv preprint arXiv …, 2024 - arxiv.org
We are interested in the following validation problem for computational reductions: for
algorithmic problems $ P $ and $ P^\star $, is a given candidate reduction indeed a …

Experiments with reduction finding

C Jordan, Ł Kaiser - International Conference on Theory and Applications …, 2013 - Springer
Reductions are perhaps the most useful tool in complexity theory and, naturally, it is in
general undecidable to determine whether a reduction exists between two given decision …

QBF Gallery 2014: The QBF Competition at the FLoC 2014 Olympic Games

M Janota, C Jordan, W Klieber… - Journal on …, 2014 - content.iospress.com
The QBF Gallery 2014 was a competitive evaluation for QBF solvers organized as part of the
FLoC 2014 Olympic Games during the Vienna Summer of Logic. The QBF Gallery 2014 …

Bounded synthesis of resilient supervisors

L Lin, R Su - arXiv preprint arXiv:1903.08358, 2019 - arxiv.org
In this paper, we investigate the problem of synthesizing resilient supervisors against
combined actuator and sensor attacks, for the subclass of cyber-physical systems that can …

Towards Automatic Linearization via SMT Solving

J Cao, L Lin, L Li - arXiv preprint arXiv:2408.13487, 2024 - arxiv.org
Mathematical optimization is ubiquitous in modern applications. However, in practice, we
often need to use nonlinear optimization models, for which the existing optimization tools …

Machine learning with guarantees using descriptive complexity and SMT solvers

C Jordan, Ł Kaiser - arXiv preprint arXiv:1609.02664, 2016 - arxiv.org
Machine learning is a thriving part of computer science. There are many efficient
approaches to machine learning that do not provide strong theoretical guarantees, and a …

Automatic generation of optimal reductions of distributions

L Lin, T Masopust, WM Wonham… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
A reduction of a source distribution is a collection of smaller sized distributions that are
collectively equivalent to the source distribution with respect to the property of …