DeepFault: Fault Localization for Deep Neural Networks

15 February 2019

Papers citing "DeepFault: Fault Localization for Deep Neural Networks"

22 / 22 papers shown

Title
Towards Assessing Deep Learning Test Input Generators Seif Mzoughi Ahmed Hajyahmed Mohamed Elshafei Foutse Khomh anb Diego Elias Costa D. Costa AAML 42 0 0 03 Apr 2025
Path Analysis for Effective Fault Localization in Deep Neural Networks Soroush Hashemifar Saeed Parsa A. Kalaee AAML 49 0 0 28 Jan 2025
Improving DNN Modularization via Activation-Driven Training Tuan Ngo Abid Hassan Saad Shafiq Nenad Medvidovic MoMe 32 0 0 01 Nov 2024
Mutation-based Fault Localization of Deep Neural Networks Ali Ghanbari Deepak-George Thomas Muhammad Arbab Arshad Hridesh Rajan 19 13 0 10 Sep 2023
Efficient Adversarial Input Generation via Neural Net Patching Tooba Khan Kumar Madhukar Subodh Vishnu Sharma AAML 24 0 0 30 Nov 2022
Repairing Brain-Computer Interfaces with Fault-Based Data Acquisition Cailin Winston Caleb Winston Chloe N. Winston Claris Winston Cleah Winston Rajesh P. N. Rao René Just 16 1 0 20 Mar 2022
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs Mohammad Wardat Breno Dantas Cruz Wei Le Hridesh Rajan 30 52 0 07 Dec 2021
ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks Hua Qi Zhijie Wang Qing Guo Jianlang Chen Felix Juefei Xu Lei Ma Jianjun Zhao AAML AI4CE 35 17 0 26 Nov 2021
AequeVox: Automated Fairness Testing of Speech Recognition Systems Sai Sathiesh Rajan Sakshi Udeshi Sudipta Chattopadhyay 28 15 0 19 Oct 2021
A Survey on Machine Learning Techniques for Source Code Analysis Tushar Sharma M. Kechagia Stefanos Georgiou Rohit Tiwari Indira Vats Hadi Moazen Federica Sarro 25 61 0 18 Oct 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 37 66 0 26 Jul 2021
Software Engineering for AI-Based Systems: A Survey Silverio Martínez-Fernández Justus Bogner Xavier Franch Marc Oriol Julien Siebert Adam Trendowicz Anna Maria Vollmer Stefan Wagner 27 211 0 05 May 2021
NEUROSPF: A tool for the Symbolic Analysis of Neural Networks Muhammad Usman Yannic Noller C. Păsăreanu Youcheng Sun D. Gopinath 35 8 0 27 Feb 2021
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges G. Giray 38 121 0 14 Dec 2020
Importance-Driven Deep Learning System Testing Simos Gerasimou Hasan Ferit Eniser A. Sen Alper Çakan AAML VLM 32 98 0 09 Feb 2020
Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning Hazem M. Fahmy F. Pastore M. Bagherzadeh Lionel C. Briand AI4CE AAML 43 30 0 03 Feb 2020
Arachne: Search Based Repair of Deep Neural Networks Jeongju Sohn Sungmin Kang S. Yoo KELM 30 46 0 28 Dec 2019
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks D. Gopinath Guy Katz C. Păsăreanu Clark W. Barrett AAML 50 87 0 02 Oct 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 349 10,639 0 19 Feb 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 251 1,842 0 03 Feb 2017
Safety Verification of Deep Neural Networks Xiaowei Huang Marta Kwiatkowska Sen Wang Min Wu AAML 183 933 0 21 Oct 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 353 5,849 0 08 Jul 2016