DeepXplore: Automated Whitebox Testing of Deep Learning Systems

18 May 2017

Papers citing "DeepXplore: Automated Whitebox Testing of Deep Learning Systems"

50 / 160 papers shown

Title
Software Testing for Machine Learning D. Marijan A. Gotlieb AAML 22 27 0 30 Apr 2022
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System Markus Borg Jens Henriksson Kasper Socha Olof Lennartsson Elias Sonnsjo Lonegren T. Bui Piotr Tomaszewski S. Sathyamoorthy Sebastian Brink M. H. Moghadam 22 23 0 16 Apr 2022
LaF: Labeling-Free Model Selection for Automated Deep Neural Network Reusing Qiang Hu Yuejun Guo Maxime Cordy Xiaofei Xie Mike Papadakis Yves Le Traon 21 5 0 08 Apr 2022
Testing Feedforward Neural Networks Training Programs Houssem Ben Braiek Foutse Khomh AAML 11 14 0 01 Apr 2022
SoK: On the Semantic AI Security in Autonomous Driving Junjie Shen Ningfei Wang Ziwen Wan Yunpeng Luo Takami Sato ... Zhenyu Zhong Kang Li Ziming Zhao Chunming Qiao Qi Alfred Chen AAML 15 39 0 10 Mar 2022
Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques M. K. Ahuja A. Gotlieb Helge Spieker AAML 11 4 0 24 Feb 2022
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons Haibo Jin Ruoxi Chen Haibin Zheng Jinyin Chen Yao Cheng Yue Yu Xianglong Liu AAML 22 6 0 12 Feb 2022
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing Tyler Cody Erin Lanus Daniel D. Doyle Laura J. Freeman 11 24 0 28 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 31 21 0 12 Jan 2022
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems Andrea Stocco Brian Pulfer Paolo Tonella 27 67 0 21 Dec 2021
Black-Box Testing of Deep Neural Networks Through Test Case Diversity Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S M. Bagherzadeh AAML 37 44 0 20 Dec 2021
Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion Yuanyuan Yuan Qi Pang Shuai Wang 35 21 0 03 Dec 2021
Understanding Performance Problems in Deep Learning Systems Junming Cao Bihuan Chen Chao Sun Longjie Hu Shuai Wu Xin Peng 30 27 0 03 Dec 2021
ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks Hua Qi Zhijie Wang Qing-Wu Guo Jianlang Chen Felix Juefei Xu L. Ma Jianjun Zhao AAML AI4CE 22 16 0 26 Nov 2021
Logically Sound Arguments for the Effectiveness of ML Safety Measures Chih-Hong Cheng Tobias Schuster Simon Burton AAML 25 6 0 04 Nov 2021
Data Synthesis for Testing Black-Box Machine Learning Models Diptikalyan Saha Aniya Aggarwal Sandeep Hans 17 4 0 03 Nov 2021
AequeVox: Automated Fairness Testing of Speech Recognition Systems Sai Sathiesh Rajan Sakshi Udeshi Sudipta Chattopadhyay 20 15 0 19 Oct 2021
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review Xinhai Zhang Jianbo Tao Kaige Tan Martin Törngren José Manuel Gaspar Sánchez ... Magnus Gyllenhammar F. Wotawa N. Mohan Mihai Nica Hermann Felbinger 32 39 0 16 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 355 0 04 Oct 2021
ML4ML: Automated Invariance Testing for Machine Learning Models Zukang Liao Pengfei Zhang Min Chen VLM 21 3 0 27 Sep 2021
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score Vincenzo Riccio Nargiz Humbatova Gunel Jahangirova Paolo Tonella 12 36 0 15 Sep 2021
Efficient Out-of-Distribution Detection Using Latent Space of $β$ -VAE for Cyber-Physical Systems Shreyas Ramakrishna Zahra Rahiminasab G. Karsai Arvind Easwaran Abhishek Dubey OODD 19 27 0 26 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix Gianni Franchi Nacim Belkhir Mai Lan Ha Yufei Hu Andrei Bursuc V. Blanz Angela Yao UQCV 33 22 0 02 Aug 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 25 65 0 26 Jul 2021
On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving Takami Sato Qi Alfred Chen AAML ELM 35 6 0 06 Jul 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks Yulong Cao* Ningfei Wang* Chaowei Xiao Dawei Yang Jin Fang Ruigang Yang Qi Alfred Chen Mingyan D. Liu Bo-wen Li AAML 24 217 0 17 Jun 2021
Exposing Previously Undetectable Faults in Deep Neural Networks Isaac Dunn Hadrien Pouget Daniel Kroening T. Melham AAML 26 28 0 01 Jun 2021
Distribution Awareness for AI System Testing David Berend 21 8 0 06 May 2021
Scalable Synthesis of Verified Controllers in Deep Reinforcement Learning Zikang Xiong Suresh Jagannathan 19 6 0 20 Apr 2021
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks Jens Henriksson C. Berger Markus Borg Lars Tornberg S. Sathyamoorthy Cristofer Englund OODD 20 17 0 29 Mar 2021
StyleLess layer: Improving robustness for real-world driving Julien Rebut Andrei Bursuc P. Pérez 22 5 0 25 Mar 2021
Multi-Label Classification Neural Networks with Hard Logical Constraints Eleonora Giunchiglia Thomas Lukasiewicz AILaw 23 42 0 24 Mar 2021
Testing Autonomous Systems with Believed Equivalence Refinement Chih-Hong Cheng Rongjie Yan 14 0 0 08 Mar 2021
Test Automation with Grad-CAM Heatmaps -- A Future Pipe Segment in MLOps for Vision AI? Markus Borg Ronald Jabangwe Simon Åberg Arvid Ekblom Ludwig Hedlund August Lidfeldt 11 18 0 02 Mar 2021
Neuron Coverage-Guided Domain Generalization Chris Xing Tian Haoliang Li Xiaofei Xie Yang Liu Shiqi Wang 23 35 0 27 Feb 2021
NEUROSPF: A tool for the Symbolic Analysis of Neural Networks Muhammad Usman Yannic Noller C. Păsăreanu Youcheng Sun D. Gopinath 19 8 0 27 Feb 2021
Distribution-Aware Testing of Neural Networks Using Generative Models Swaroopa Dola Matthew B. Dwyer M. Soffa 32 52 0 26 Feb 2021
Increasing the Confidence of Deep Neural Networks by Coverage Analysis Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 26 13 0 28 Jan 2021
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection Yuanchun Li Jiayi Hua Haoyu Wang Chunyang Chen Yunxin Liu FedML SILM 86 75 0 18 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 37 169 0 13 Jan 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Muhammad Shafique Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 75 100 0 04 Jan 2021
Automatic Test Suite Generation for Key-Points Detection DNNs using Many-Objective Search (Experience Paper) Fitash Ul Haq Donghwan Shin Lionel C. Briand Thomas Stifter Jun Wang AAML 21 19 0 11 Dec 2020
Characterizing and Taming Model Instability Across Edge Devices Eyal Cidon Evgenya Pergament Zain Asgar Asaf Cidon Sachin Katti 14 7 0 18 Oct 2020
Scenic: A Language for Scenario Specification and Data Generation Daniel J. Fremont Edward J. Kim T. Dreossi Shromona Ghosh Xiangyu Yue Alberto L. Sangiovanni-Vincentelli S. Seshia 27 97 0 13 Oct 2020
Deep Learning & Software Engineering: State of Research and Future Directions P. Devanbu Matthew B. Dwyer Sebastian G. Elbaum M. Lowry Kevin Moran Denys Poshyvanyk Baishakhi Ray Rishabh Singh Xiangyu Zhang 11 22 0 17 Sep 2020
Optimizing Information Loss Towards Robust Neural Networks Philip Sperl Konstantin Böttinger AAML 13 3 0 07 Aug 2020
Scaling Polyhedral Neural Network Verification on GPUs Christoph Müller F. Serre Gagandeep Singh Markus Püschel Martin Vechev AAML 29 56 0 20 Jul 2020
ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks Miguel Villarreal-Vasquez B. Bhargava AAML 6 38 0 01 Jul 2020
Robust Federated Learning: The Case of Affine Distribution Shifts Amirhossein Reisizadeh Farzan Farnia Ramtin Pedarsani Ali Jadbabaie FedML OOD 32 162 0 16 Jun 2020
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices Run Wang Felix Juefei Xu Yihao Huang Qing-Wu Guo Xiaofei Xie L. Ma Yang Liu AAML 17 104 0 28 May 2020