Provably-Robust Runtime Monitoring of Neuron Activation Patterns

24 November 2020

Papers citing "Provably-Robust Runtime Monitoring of Neuron Activation Patterns"

10 / 10 papers shown

Title
A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions Saeed Rahmani Sabine Rieder Erwin de Gelder Marcel Sonntag Jorge Lorente Mallada Sytze Kalisvaart Vahid Hashemi Simeon C. Calvert 34 0 0 11 Oct 2024
Runtime Monitoring DNN-Based Perception Chih-Hong Cheng Michael Luttenberger Rongjie Yan 11 1 0 06 Oct 2023
What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety Critical Systems Saddek Bensalem Chih-Hong Cheng Wei Huang Xiaowei Huang Changshun Wu Xingyu Zhao AAML 19 6 0 20 Jul 2023
Runtime Monitoring for Out-of-Distribution Detection in Object Detection Neural Networks V. Hashemi Jan Křetínský Sabine Rieder J. Schmidt OODD 17 7 0 15 Dec 2022
SpecRepair: Counter-Example Guided Safety Repair of Deep Neural Networks Fabian Bauer-Marquart David Boetius Stefan Leue Christian Schilling AAML 19 6 0 03 Jun 2021
Customizable Reference Runtime Monitoring of Neural Networks using Resolution Boxes Changshun Wu Yliès Falcone Saddek Bensalem 34 10 0 25 Apr 2021
Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian Approximation of Hidden Features Nicolas Berthier Amany Alshareef James Sharp S. Schewe Xiaowei Huang 16 10 0 05 Mar 2021
A Safety Framework for Critical Systems Utilising Deep Neural Networks Xingyu Zhao Alec Banks James Sharp Valentin Robu David Flynn Michael Fisher Xiaowei Huang AAML 50 48 0 07 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015