activity
20192025
most citedPractical Solutions for Machine Learning Safety in Autonomous Vehicles

51 citations · 53 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LO2025

Alignment Monitoring

Thomas A. Henzinger, Konstantin Kueffner, Vasu Singh +1

Formal verification provides assurances that a probabilistic system satisfies its specification--conditioned on the system model being aligned with reality. We propose alignment mo…

cs.AI2025★ 1 cited

HySafe-AI: Hybrid Safety Architectural Analysis Framework for AI Systems: A Case Study

Mandar Pitale, Jelena Frtunikj, Abhinaw Priyadershi +2

AI has become integral to safety-critical areas like autonomous driving systems (ADS) and robotics. The architecture of recent autonomous systems are trending toward end-to-end (E2…

cs.CR2023

ALBERTA: ALgorithm-Based Error Resilience in Transformer Architectures

Haoxuan Liu, Vasu Singh, Michał Filipiuk +1

Vision Transformers are being increasingly deployed in safety-critical applications that demand high reliability. It is crucial to ensure the correctness of their execution in spit…

cs.AI2022★ 1 cited

Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles

Yu-Shun Hsiao, Siva Kumar Sastry Hari, Michał Filipiuk +5

The processing requirement of autonomous vehicles (AVs) for high-accuracy perception in complex scenarios can exceed the resources offered by the in-vehicle computer, degrading saf…

cs.LG2019★ 51 cited

Practical Solutions for Machine Learning Safety in Autonomous Vehicles

Sina Mohseni, Mandar Pitale, Vasu Singh +1

Autonomous vehicles rely on machine learning to solve challenging tasks in perception and motion planning. However, automotive software safety standards have not fully evolved to a…