Outside the Box: Abstraction-Based Monitoring of Neural Networks

Outside the Box: Abstraction-Based Monitoring of Neural Networks

20 November 2019

Christian Schilling

Papers citing "Outside the Box: Abstraction-Based Monitoring of Neural Networks"

13 / 13 papers shown

Title
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Lars Ullrich Zurab Mujirishvili Knut Graichen 54 0 0 25 Apr 2025
Attention Masks Help Adversarial Attacks to Bypass Safety Detectors Yunfan Shi AAML 32 0 0 07 Nov 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward Xuan Xie Jiayang Song Zhehua Zhou Yuheng Huang Da Song Lei Ma OffRL 39 6 0 12 Apr 2024
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand S. Ramesh 25 5 0 03 Aug 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
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 29 81 0 19 May 2023
Out-Of-Distribution Detection Is Not All You Need Joris Guérin Kevin Delmas Raul Sena Ferreira Jérémie Guiochet OODD 27 32 0 29 Nov 2022
Prioritizing Corners in OoD Detectors via Symbolic String Manipulation Chih-Hong Cheng Changshun Wu Emmanouil Seferis Saddek Bensalem 26 3 0 16 May 2022
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems Amanda Prorok Matthew Malencia Luca Carlone Gaurav Sukhatme Brian M. Sadler Vijay R. Kumar 90 53 0 25 Sep 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends Q. Rahman Peter Corke Feras Dayoub OOD 27 51 0 05 Jan 2021
Provably-Robust Runtime Monitoring of Neuron Activation Patterns Chih-Hong Cheng AAML 25 12 0 24 Nov 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 282 9,136 0 06 Jun 2015