Detecting Adversarial Examples in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression

21 March 2020

Papers citing "Detecting Adversarial Examples in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression"

8 / 8 papers shown

Title
Safety Monitoring of Machine Learning Perception Functions: a Survey Raul Sena Ferreira Joris Guérin Kevin Delmas Jérémie Guiochet H. Waeselynck 123 0 0 09 Dec 2024
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering Kemal Kurniawan Bernhard Schölkopf Michael Muehlebach 207 1 0 02 Oct 2024
Scalable Surrogate Verification of Image-based Neural Network Control Systems using Composition and Unrolling Feiyang Cai Chuchu Fan Stanley Bak 158 6 0 28 May 2024
PAC-Based Formal Verification for Out-of-Distribution Data Detection Mohit Prashant Arvind Easwaran OODD 78 1 0 04 Apr 2023
Detection of Dataset Shifts in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression Feiyang Cai A. Ozdagli X. Koutsoukos 80 2 0 14 Apr 2021
Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems Matthew P. Burruss Shreyas Ramakrishna A. Dubey AAML 101 6 0 25 Mar 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS Felix O. Olowononi D. Rawat Chunmei Liu 95 138 0 14 Feb 2021
Surrogate Model For Field Optimization Using Beta-VAE Based Regression Ajitabh Kumar 48 0 0 26 Aug 2020