7 papers
NNV3: Expanding Neural Network Verification to New Architectures and Domains
Anne M. Tumlin, Samuel Sasaki, Ben Wooding +8
We present NNV3, the latest version of the Neural Network Verification (NNV) tool, a MATLAB framework for formal verification of deep learning models and learning-enabled cyber-phy…
Personalized Group Relative Policy Optimization for Heterogenous Preference Alignment
Jialu Wang, Heinrich Peters, Asad A. Butt +6
Despite their sophisticated general-purpose capabilities, Large Language Models (LLMs) often fail to align with diverse individual preferences because standard post-training method…
Probabilistic Robustness Analysis in High Dimensional Space: Application to Semantic Segmentation Network
Navid Hashemi, Samuel Sasaki, Diego Manzanas Lopez +4
Semantic segmentation networks (SSNs) are central to safety-critical applications such as medical imaging and autonomous driving, where robustness under uncertainty is essential. H…
PCA-DDReach: Efficient Statistical Reachability Analysis of Stochastic Dynamical Systems via Principal Component Analysis
Navid Hashemi, Lars Lindemann, Jyotirmoy Deshmukh
This study presents a scalable data-driven algorithm designed to efficiently address the challenging problem of reachability analysis. Analysis of cyber-physical systems (CPS) reli…
Statistical Reachability Analysis of Stochastic Cyber-Physical Systems under Distribution Shift
Navid Hashemi, Lars Lindemann, Jyotirmoy V. Deshmukh
Reachability analysis is a popular method to give safety guarantees for stochastic cyber-physical systems (SCPSs) that takes in a symbolic description of the system dynamics and us…
Scaling Learning based Policy Optimization for Temporal Logic Tasks by Controller Network Dropout
Navid Hashemi, Bardh Hoxha, Danil Prokhorov +2
This paper introduces a model-based approach for training feedback controllers for an autonomous agent operating in a highly nonlinear (albeit deterministic) environment. We desire…
Data-Driven Reachability Analysis of Stochastic Dynamical Systems with Conformal Inference
Navid Hashemi, Xin Qin, Lars Lindemann +1
We consider data-driven reachability analysis of discrete-time stochastic dynamical systems using conformal inference. We assume that we are not provided with a symbolic representa…