9 papers
Cost-Aware Adaptive Conformal Inference for Runtime Assurance in Dynamic Environments
Taoran Wu, Jingduo Pan, Luke Ong +1
This paper addresses the problem of providing runtime assurance for systems operating online under unknown and potentially time-varying data distributions. We propose Cost-Aware Ad…
Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning
Jingduo Pan, Taoran Wu, Yiling Xue +1
We study stochastic minimum-cost reach-avoid reinforcement learning, where an agent must satisfy a reach-avoid specification with probability at least while minimizing expected…
Efficient Verification and Falsification of ReLU Neural Barrier Certificates
Dejin Ren, Yiling Xue, Taoran Wu +1
Barrier certificates play an important role in verifying the safety of continuous-time systems, including autonomous driving, robotic manipulators and other critical applications.…
Controlled Reach-avoid Set Computation for Discrete-time Polynomial Systems via Convex Optimization
Taoran Wu, Yiling Xue, Dejin Ren +3
This paper addresses the computation of controlled reach-avoid sets (CRASs) for discrete-time polynomial systems subject to control inputs. A CRAS is a set encompassing initial sta…
Convex Computations for Controlled Safety Invariant Sets of Black-box Discrete-time Dynamical Systems
Taoran Wu, Yiling Xue, Jingduo Pan +3
Identifying controlled safety invariant sets (CSISs) is essential for safety-critical systems. This paper addresses the problem of computing CSISs for black-box discrete-time syste…
Inner-approximate Reachability Computation via Zonotopic Boundary Analysis
Dejin Ren, Zhen Liang, Chenyu Wu +3
Inner-approximate reachability analysis involves calculating subsets of reachable sets, known as inner-approximations. This analysis is crucial in the fields of dynamic systems ana…
A Framework for Safe Probabilistic Invariance Verification of Stochastic Dynamical Systems
Taoran Wu, Yiqing Yu, Bican Xia +2
Ensuring safety through set invariance has proven to be a valuable method in various robotics and control applications. This paper introduces a comprehensive framework for the safe…
Converse Barrier Certificates for Finite-time Safety Verification of Continuous-time Perturbed Deterministic Systems
Yonghan Li, Chenyu Wu, Taoran Wu +2
In this paper, we investigate the problem of verifying the finite-time safety of continuous-time perturbed deterministic systems represented by ordinary differential equations in t…
UR4NNV: Neural Network Verification, Under-approximation Reachability Works!
Zhen Liang, Taoran Wu, Ran Zhao +5
Recently, formal verification of deep neural networks (DNNs) has garnered considerable attention, and over-approximation based methods have become popular due to their effectivenes…