collaborators

5 papers

eess.SY2026

A Pragmatic Guide to Building Conservative Discrete Abstractions of Cyber-Physical Systems

Jordan Peper, Krish Kapadia, James Gast +2

Symbolic model checking is an effective approach for verifying semantically rich temporal-logic properties of cyber-physical systems, but it hinges on discretizing continuous-state…

cs.LG2026

Finite-Sample Analysis of Elimination in Active Hypothesis Testing

Ziyuan Lin, Hoang Ngoc Nguyen, Jie Xu +1

A fixed-confidence, finite-sample problem of active hypothesis testing arises in many safety-critical applications. Situated in the context of sequential hypothesis testing, this p…

cs.CR2026

Digital Guardians: The Past and The Future of Cyber-Physical Resilience

Saurabh Bagchi, Hyunseung Kim, Tarek Abdelzaher +20

Resilience in cyber-physical systems (CPS) is the fundamental ability to maintain safety and critical functionality despite adverse "perturbations," which includes security attacks…

cs.FL2025

Conservative Perception Models for Probabilistic Verification

Matthew Cleaveland, Pengyuan Lu, Oleg Sokolsky +2

Verifying the behaviors of autonomous systems with learned perception components is a challenging problem due to the complexity of the perception and the uncertainty of operating e…

cs.AI2025

Distributionally Robust Statistical Verification with Imprecise Neural Networks

Souradeep Dutta, Michele Caprio, Vivian Lin +5

A particularly challenging problem in AI safety is providing guarantees on the behavior of high-dimensional autonomous systems. Verification approaches centered around reachability…