The advent of edge devices dedicated to machine learning tasks enabled t...
Probabilistic hyperproperties express probabilistic relations between
di...
Probabilistic hyperproperties specify quantitative relations between the...
Many stochastic continuous-state dynamical systems can be modeled as
pro...
Automatically generating invariants, key to computer-aided analysis of
p...
Probabilistic loops can be employed to implement and to model different
...
Mutation testing is an established software quality assurance technique ...
Automatically generating invariants, key to computer-aided analysis of
p...
We present an algorithmic approach to estimate the value distributions o...
We present a method to automatically approximate moment-based invariants...
We present a novel static analysis technique to derive higher moments fo...
We present ShapeIt, a tool for mining specifications of cyber-physical
s...
Formal methods provide very powerful tools and techniques for the design...
From biological systems to cyber-physical systems, monitoring the behavi...
We describe the Amber tool for proving and refuting the termination of a...
Information-flow policies prescribe which information is available to a ...
We present MoonLight, a tool for monitoring temporal and spatio-temporal...
We propose a framework for solving control synthesis problems for multi-...
We introduce MORA, an automated tool for generating invariants of
probab...
We present CityPM, a novel predictive monitoring system for smart cities...
Ensuring correctness of cyber-physical systems (CPS) is an extremely
cha...
The termination behavior of probabilistic programs depends on the outcom...
Prob-solvable loops are probabilistic programs with polynomial assignmen...
We study the problem of formalizing and checking probabilistic
hyperprop...
Contract-based design is a promising methodology for taming the complexi...
With the increasing number of smart services implemented in smart cities...
There is an increasing need for the runtime monitoring of real time safe...
One of the main challenges in the analysis of probabilistic programs is ...
Cyber-Physical Systems (CPS) consist of collaborative, networked and tig...
Debugging Cyber-Physical System (CPS) models can be extremely complex.
I...
We present a new method for the automated synthesis of digital controlle...
Runtime verification is an area of formal methods that studies the dynam...
The Internet of Things (IoT) is an ubiquitous system connecting many
dif...
Markov Decision Processes (MDPs) are a popular class of models suitable ...
We introduce a new logic called Signal Convolution Logic (SCL) that comb...
We consider the problem of monitoring a Linear Time Logic (LTL) specific...
Runtime verification (RV) is a pragmatic and scalable, yet rigorous
tech...
We consider the problem of mining signal temporal logical requirements f...
We introduce ARES, an efficient approximation algorithm for generating
o...
We introduce Deep Neural Programs (DNP), a novel programming paradigm fo...
We propose a technique to detect and generate patterns in a network of
l...
We present a novel approach to learn the formulae characterising the eme...
Stochastic models such as Continuous-Time Markov Chains (CTMC) and Stoch...