5 citations · 9 across the 9 of their papers we have counts for
9 papers
Floating-Point Neural Network Verification at the Software Level
Edoardo Manino, Bruno Farias, Rafael Sá Menezes +2
The behaviour of neural network components must be proven correct before deployment in safety-critical systems. Unfortunately, existing neural network verification techniques canno…
Interval Analysis in Industrial-Scale BMC Software Verifiers: A Case Study
Rafael Sá Menezes, Edoardo Manino, Fedor Shmarov +3
Bounded Model Checking (BMC) is a widely used software verification technique. Despite its successes, the technique has several limiting factors, from state-space explosion to lack…
ESBMC v7.4: Harnessing the Power of Intervals
Rafael Menezes, Mohannad Aldughaim, Bruno Farias +9
ESBMC implements many state-of-the-art techniques for model checking. We report on new and improved features that allow us to obtain verification results for previously unsupported…
NeuroCodeBench: a plain C neural network benchmark for software verification
Edoardo Manino, Rafael Sá Menezes, Fedor Shmarov +1
Safety-critical systems with neural network components require strong guarantees. While existing neural network verification techniques have shown great progress towards this goal,…
Combining BMC and Fuzzing Techniques for Finding Software Vulnerabilities in Concurrent Programs
Fatimah K. Aljaafari, Rafael Menezes, Edoardo Manino +3
Finding software vulnerabilities in concurrent programs is a challenging task due to the size of the state-space exploration, as the number of interleavings grows exponentially wit…
Automated Synthesis of Safe Digital Controllers for Sampled-Data Stochastic Nonlinear Systems
Fedor Shmarov, Sadegh Soudjani, Nicola Paoletti +4
We present a new method for the automated synthesis of digital controllers with formal safety guarantees for systems with nonlinear dynamics, noisy output measurements, and stochas…
Automated Synthesis of Safe and Robust PID Controllers for Stochastic Hybrid Systems
Fedor Shmarov, Nicola Paoletti, Ezio Bartocci +3
We present a new method for the automated synthesis of safe and robust Proportional-Integral-Derivative (PID) controllers for stochastic hybrid systems. Despite their widespread us…
ProbReach: Verified Probabilistic Delta-Reachability for Stochastic Hybrid Systems
Fedor Shmarov, Paolo Zuliani
We present ProbReach, a tool for verifying probabilistic reachability for stochastic hybrid systems, i.e., computing the probability that the system reaches an unsafe region of the…
Probabilistic bounded reachability for hybrid systems with continuous nondeterministic and probabilistic parameters
Fedor Shmarov, Paolo Zuliani
We develop an algorithm for computing bounded reachability probability for hybrid systems, i.e., the probability that the system reaches an unsafe region within a finite number of…