P. Krishnamurthy

Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy

2018 · arXiv (Cornell University)

The paper proposes an on-line monitoring framework for continuous real-time safety/security in learning-based control systems (specifically application to a unmanned ground vehicle). We monitor validity of mappings from sensor inputs to actuator commands, controller-focused anomaly …

Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection

2023 · arXiv (Cornell University)

This paper proposes a data-efficient detection method for deep neural networks against backdoor attacks under a black-box scenario. The proposed approach is motivated by the intuition that features corresponding to triggers have a higher influence …

Data-Efficient System Identification via Lipschitz Neural Networks

2025

Extracting dynamic models from data is of enormous importance in understanding the properties of unknown systems. In this work, we employ Lipschitz neural networks, a class of neural networks with a prescribed upper bound on …