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
MetaSel: A Test Selection Approach for Fine-tuned DNN Models Amin Abbasishahkoo Mahboubeh Dadkhah Lionel C. Briand Dayi Lin 54 0 0 21 Mar 2025
Democratic Training Against Universal Adversarial Perturbations Bing-Jie Sun Jun Sun Wei Zhao AAML 74 0 0 08 Feb 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
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers Lam Nguyen Tung Steven Cho Xiaoning Du Neelofar Neelofar Valerio Terragni Stefano Ruberto Aldeida Aleti 257 2 0 30 Oct 2024
A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models Zhengyuan Wei Haipeng Wang Qili Zhou William Chan 34 0 0 19 Jul 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 60 6 0 12 Apr 2024
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 35 3 0 12 Apr 2024
Beyond Accuracy: An Empirical Study on Unit Testing in Open-source Deep Learning Projects Han Wang Sijia Yu Chunyang Chen Burak Turhan Xiaodong Zhu ELM MLAU 28 2 0 26 Feb 2024
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems Jinjing Shi Zimeng Xiao Heyuan Shi Yu Jiang Xuelong Li AAML 51 2 0 20 Feb 2024
Efficient Representation of the Activation Space in Deep Neural Networks Tanya Akumu C. Cintas G. Tadesse Adebayo Oshingbesan Skyler Speakman E. McFowland AAML 36 0 0 13 Dec 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 57 51 0 18 May 2023
Neuron Structure Modeling for Generalizable Remote Physiological Measurement Hao Lu Zitong Yu Xuesong Niu Yingke Chen 39 31 0 10 Mar 2023
Greener yet Powerful: Taming Large Code Generation Models with Quantization Xiaokai Wei Sujan Kumar Gonugondla W. Ahmad Shiqi Wang Baishakhi Ray ... Ben Athiwaratkun Mingyue Shang M. K. Ramanathan Parminder Bhatia Bing Xiang MQ 41 6 0 09 Mar 2023
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks Zohreh Aghababaeyan Manel Abdellatif Mahboubeh Dadkhah Lionel C. Briand AAML 36 16 0 08 Mar 2023
Testing the Channels of Convolutional Neural Networks Kang Choi Donghyun Son Younghoon Kim Jiwon Seo 33 1 0 06 Mar 2023
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification Roberto Santana Ivan Hidalgo-Cenalmor Unai Garciarena A. Mendiburu Jose A. Lozano 27 2 0 05 Mar 2023
Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error Tyler Cody Laura J. Freeman OODD 16 2 0 28 Feb 2023
Active Learning with Combinatorial Coverage Sai Prathyush Katragadda Tyler Cody Peter A. Beling Laura J. Freeman 21 6 0 28 Feb 2023
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study Vincenzo Riccio Paolo Tonella AAML 24 29 0 21 Dec 2022
An Overview of Structural Coverage Metrics for Testing Neural Networks Muhammad Usman Youcheng Sun D. Gopinath R. Dange Luca Manolache C. Păsăreanu 25 8 0 05 Aug 2022
Guiding the retraining of convolutional neural networks against adversarial inputs Francisco Durán Silverio Martínez-Fernández Michael Felderer Xavier Franch AAML 43 1 0 08 Jul 2022
Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks Jiaxiang Liu Yunhan Xing Xiaomu Shi Fu Song Zhiwu Xu Zhong Ming 34 10 0 02 Jul 2022
Bugs in Machine Learning-based Systems: A Faultload Benchmark Mohammad Mehdi Morovati Amin Nikanjam Foutse Khomh Zhen Ming Z. Jiang 32 20 0 24 Jun 2022
A Search-Based Testing Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand M. Bagherzadeh Ramesh S 50 27 0 15 Jun 2022
CodeS: Towards Code Model Generalization Under Distribution Shift Qiang Hu Yuejun Guo Xiaofei Xie Maxime Cordy Lei Ma Mike Papadakis Yves Le Traon OOD 39 10 0 11 Jun 2022
Hierarchical Distribution-Aware Testing of Deep Learning Wei Huang Xingyu Zhao Alec Banks V. Cox Xiaowei Huang OOD AAML 47 10 0 17 May 2022
AEON: A Method for Automatic Evaluation of NLP Test Cases Jen-tse Huang Jianping Zhang Wenxuan Wang Pinjia He Yuxin Su Michael R. Lyu 45 23 0 13 May 2022
Search-Based Testing of Reinforcement Learning Martin Tappler Filip Cano Córdoba B. Aichernig Bettina Könighofer ELM OffRL 27 23 0 07 May 2022
Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study) Michael Weiss Paolo Tonella AAML 20 50 0 02 May 2022
Software Testing for Machine Learning D. Marijan A. Gotlieb AAML 30 27 0 30 Apr 2022
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment Qiang Hu Yuejun Guo Maxime Cordy Xiaofei Xie Wei Ma Mike Papadakis Yves Le Traon MQ 49 1 0 08 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 23 5 0 08 Apr 2022
Testing Feedforward Neural Networks Training Programs Houssem Ben Braiek Foutse Khomh AAML 18 14 0 01 Apr 2022
Repairing Group-Level Errors for DNNs Using Weighted Regularization Ziyuan Zhong Yuchi Tian Conor J. Sweeney Vicente Ordonez Baishakhi Ray 24 0 0 24 Mar 2022
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks Xiaofei Xie Tianlin Li Jian-Xun Wang Lei Ma Qing Guo Felix Juefei Xu Yang Liu AAML 29 51 0 24 Mar 2022
Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques M. K. Ahuja A. Gotlieb Helge Spieker AAML 19 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 33 6 0 12 Feb 2022
Towards Training Reproducible Deep Learning Models Boyuan Chen Mingzhi Wen Yong Shi Dayi Lin Gopi Krishnan Rajbahadur Zhen Ming Z. Jiang SyDa 23 37 0 04 Feb 2022
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing Tyler Cody Erin Lanus Daniel D. Doyle Laura J. Freeman 19 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 44 22 0 12 Jan 2022
Black-Box Testing of Deep Neural Networks Through Test Case Diversity Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S M. Bagherzadeh AAML 50 44 0 20 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 Guo Jianlang Chen Felix Juefei Xu Lei Ma Jianjun Zhao AAML AI4CE 35 17 0 26 Nov 2021
Data Synthesis for Testing Black-Box Machine Learning Models Diptikalyan Saha Aniya Aggarwal Sandeep Hans 25 4 0 03 Nov 2021
AequeVox: Automated Fairness Testing of Speech Recognition Systems Sai Sathiesh Rajan Sakshi Udeshi Sudipta Chattopadhyay 28 15 0 19 Oct 2021
Trustworthy AI: From Principles to Practices Bo Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 121 357 0 04 Oct 2021
ML4ML: Automated Invariance Testing for Machine Learning Models Zukang Liao Pengfei Zhang Min Chen VLM 26 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 23 37 0 15 Sep 2021