Safety Monitoring of Machine Learning Perception Functions: a Survey

9 December 2024

Papers citing "Safety Monitoring of Machine Learning Perception Functions: a Survey"

48 / 48 papers shown

Title
Unifying Evaluation of Machine Learning Safety Monitors Joris Guérin Raul Sena Ferreira Kevin Delmas Jérémie Guiochet 70 13 0 31 Aug 2022
On the reversibility of adversarial attacks C. Li Ricardo Sánchez-Matilla Ali Shahin Shamsabadi Riccardo Mazzon Andrea Cavallaro AAML 35 2 0 01 Jun 2022
Fault-Tolerant Perception for Automated Driving A Lightweight Monitoring Approach Cornelius Buerkle Florian Geissler Michael Paulitsch Kay-Ulrich Scholl 53 9 0 24 Nov 2021
Swin Transformer V2: Scaling Up Capacity and Resolution Ze Liu Han Hu Yutong Lin Zhuliang Yao Zhenda Xie ... Yue Cao Zheng Zhang Li Dong Furu Wei B. Guo ViT 221 1,831 0 18 Nov 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 486 1,654 0 10 Nov 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 157 535 0 31 Aug 2021
WiP Abstract : Robust Out-of-distribution Motion Detection and Localization in Autonomous CPS Yeli Feng Arvind Easwaran OODD 46 3 0 25 Jul 2021
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Xintao Wang Liangbin Xie Chao Dong Ying Shan 129 1,180 0 22 Jul 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 84 32 0 09 Jun 2021
Combining pretrained CNN feature extractors to enhance clustering of complex natural images Joris Guérin Stéphane Thiery E. Nyiri O. Gibaru Byron Boots 120 43 0 07 Jan 2021
Bayesian Image Reconstruction using Deep Generative Models Razvan Marinescu Daniel Moyer Polina Golland OOD DiffM 87 40 0 08 Dec 2020
Adaptive Aggregation Networks for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 99 220 0 10 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 273 1,375 0 08 Oct 2020
Robust Detection of Objects under Periodic Motion with Gaussian Process Filtering Joris Guérin A. Canuto L. Gonçalves 54 7 0 29 Sep 2020
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities Zhaoyi Xu J. Saleh 76 350 0 19 Aug 2020
Detecting Adversarial Examples in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression Feiyang Cai Jiani Li X. Koutsoukos DRL 62 12 0 21 Mar 2020
Model Assertions for Monitoring and Improving ML Models Daniel Kang Deepti Raghavan Peter Bailis Matei A. Zaharia 59 59 0 03 Mar 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 111 577 0 26 Feb 2020
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems Feiyang Cai X. Koutsoukos OODD 179 75 0 28 Jan 2020
Deep Learning on Image Denoising: An overview Chunwei Tian Lunke Fei Wenxian Zheng Yong-mei Xu W. Zuo Chia-Wen Lin 217 836 0 31 Dec 2019
Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study Fitash Ul Haq Donghwan Shin S. Nejati Lionel C. Briand 52 61 0 28 Nov 2019
Outside the Box: Abstraction-Based Monitoring of Neural Networks T. Henzinger Anna Lukina Christian Schilling AAML 81 59 0 20 Nov 2019
Attacking Vision-based Perception in End-to-End Autonomous Driving Models Adith Boloor Karthik Garimella Xin He C. Gill Yevgeniy Vorobeychik Xuan Zhang AAML 68 106 0 02 Oct 2019
Neural Simplex Architecture Dung Phan Radu Grosu N. Jansen Nicola Paoletti S. Smolka Scott D. Stoller 79 62 0 01 Aug 2019
A General Framework for Uncertainty Estimation in Deep Learning Antonio Loquercio Mattia Segu Davide Scaramuzza UQCV BDL OOD 74 293 0 16 Jul 2019
Three scenarios for continual learning Gido M. van de Ven A. Tolias CLL 104 896 0 15 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 196 3,458 0 28 Mar 2019
Deep Learning for Image Super-resolution: A Survey Zhihao Wang Jian Chen Guosheng Lin SupR 90 1,443 0 16 Feb 2019
SelectiveNet: A Deep Neural Network with an Integrated Reject Option Yonatan Geifman Ran El-Yaniv CVBM OOD 131 311 0 26 Jan 2019
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance Taylor Denouden Rick Salay Krzysztof Czarnecki Vahdat Abdelzad Buu Phan Sachin Vernekar OODD 66 123 0 06 Dec 2018
Informed Democracy: Voting-based Novelty Detection for Action Recognition Alina Roitberg Ziad Al-Halah Rainer Stiefelhagen 58 30 0 30 Oct 2018
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift Stephan Rabanser Stephan Günnemann Zachary Chase Lipton 70 371 0 29 Oct 2018
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving W. Zhou J. S. Berrio Stewart Worrall E. Nebot 151 72 0 24 Oct 2018
Adversarial Attacks and Defences: A Survey Anirban Chakraborty Manaar Alam Vishal Dey Anupam Chattopadhyay Debdeep Mukhopadhyay AAML OOD 92 683 0 28 Sep 2018
Efficient Uncertainty Estimation for Semantic Segmentation in Videos Po-Yu Huang W. Hsu Chun-Yueh Chiu Tingfan Wu Min Sun BDL UQCV 59 108 0 29 Jul 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 199 2,064 0 10 Jul 2018
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification Dimitrios Milios Raffaello Camoriano Pietro Michiardi Lorenzo Rosasco Maurizio Filippone UQCV 78 75 0 28 May 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 201 923 0 28 Feb 2018
A Semantic Loss Function for Deep Learning with Symbolic Knowledge Jingyi Xu Zilu Zhang Tal Friedman Yitao Liang Guy Van den Broeck 107 453 0 29 Nov 2017
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 149 5,219 0 10 Nov 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 171 2,082 0 08 Jun 2017
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 181 593 0 22 May 2017
Compositional Falsification of Cyber-Physical Systems with Machine Learning Components T. Dreossi Alexandre Donzé Sanjit A. Seshia AAML 109 231 0 02 Mar 2017
On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products Kush R. Varshney H. Alemzadeh 142 225 0 05 Oct 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 342 5,247 0 16 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 244 10,729 0 15 Sep 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 549 5,912 0 08 Jul 2016
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 437 43,875 0 01 May 2014