default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYves Le Traon
Person information
- affiliation: University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust (SnT)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j117]Nima Nasiri
, Saeed Zeynali, Sajad Najafi Ravadanegh, Sylvain Kubler, Yves Le Traon:
Decentralized Privacy-Preserving Distributionally Robust Restoration of Electricity/Natural-Gas Systems Considering Coordination of Pump Storage Hydropower and Wind Farms. IEEE Access 12: 13747-13762 (2024)- [j116]Kisub Kim, Sankalp Ghatpande, Dongsun Kim, Xin Zhou, Kui Liu, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon:
Big Code Search: A Bibliography. ACM Comput. Surv. 56(1): 25:1-25:49 (2024) - [j115]Xueqi Dang, Yinghua Li, Wei Ma, Yuejun Guo, Qiang Hu, Mike Papadakis, Maxime Cordy, Yves Le Traon:
Towards Exploring the Limitations of Test Selection Techniques on Graph Neural Networks: An Empirical Study. Empir. Softw. Eng. 29(5): 112 (2024) - [j114]Marcelo Luis Ruiz Rodríguez, Sylvain Kubler, Jérémy Robert, Yves Le Traon:
Dynamic maintenance scheduling approach under uncertainty: Comparison between reinforcement learning, genetic algorithm simheuristic, dispatching rules. Expert Syst. Appl. 248: 123404 (2024) - [j113]Sai Sathiesh Rajan, Ezekiel O. Soremekun, Yves Le Traon, Sudipta Chattopadhyay:
Distribution-aware fairness test generation. J. Syst. Softw. 215: 112090 (2024) - [j112]Zeming Dong, Qiang Hu, Zhenya Zhang, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao:
On the effectiveness of hybrid pooling in mixup-based graph learning for language processing. J. Syst. Softw. 216: 112139 (2024) - [j111]Yves Le Traon, Tao Xie:
Test case prioritization and mutation testing. Softw. Test. Verification Reliab. 34(1) (2024) - [j110]Yves Le Traon, Tao Xie:
Bud hunting with directed fuzz testing and source code vulnerability detection with advanced graph neural networks. Softw. Test. Verification Reliab. 34(2) (2024) - [j109]Yves Le Traon, Tao Xie:
Test code evolution and mutation testing. Softw. Test. Verification Reliab. 34(3) (2024) - [j108]Yves Le Traon, Tao Xie:
Investigating fault injection techniques in hardware-based deep neural networks and mutation-based fault localization. Softw. Test. Verification Reliab. 34(4) (2024) - [j107]Yves Le Traon, Tao Xie:
Unsafe code detection in Rust and metamorphic testing of autonomous driving systems. Softw. Test. Verification Reliab. 34(5) (2024) - [j106]Haroon Elahi, Guojun Wang, Wenjun Jiang, Alexandre Bartel, Yves Le Traon:
A Qualitative Study of App Acquisition and Management. IEEE Trans. Comput. Soc. Syst. 11(2): 1907-1925 (2024) - [j105]Xueqi Dang, Yinghua Li, Mike Papadakis, Jacques Klein, Tegawendé F. Bissyandé, Yves Le Traon:
GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks. ACM Trans. Softw. Eng. Methodol. 33(1): 22:1-22:40 (2024) - [j104]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon:
LaF: Labeling-free Model Selection for Automated Deep Neural Network Reusing. ACM Trans. Softw. Eng. Methodol. 33(1): 25:1-25:28 (2024) - [j103]Yuejun Guo, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon:
KAPE: kNN-based Performance Testing for Deep Code Search. ACM Trans. Softw. Eng. Methodol. 33(2): 48:1-48:24 (2024) - [j102]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Test Optimization in DNN Testing: A Survey. ACM Trans. Softw. Eng. Methodol. 33(4): 111:1-111:42 (2024) - [j101]Yinghua Li, Xueqi Dang, Lei Ma, Jacques Klein, Yves Le Traon, Tegawendé F. Bissyandé:
Test Input Prioritization for 3D Point Clouds. ACM Trans. Softw. Eng. Methodol. 33(5): 132:1-132:44 (2024) - [j100]Xueqi Dang, Yinghua Li, Mike Papadakis, Jacques Klein, Tegawendé F. Bissyandé, Yves Le Traon:
Test Input Prioritization for Machine Learning Classifiers. IEEE Trans. Software Eng. 50(3): 413-442 (2024) - [j99]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. IEEE Trans. Software Eng. 50(5): 1080-1095 (2024) - [c256]Luiz Carvalho, Renzo Degiovanni, Maxime Cordy, Nazareno Aguirre, Yves Le Traon, Mike Papadakis:
SpecBCFuzz: Fuzzing LTL Solvers with Boundary Conditions. ICSE 2024: 123:1-123:13 - [c255]Aayush Garg, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
On the Coupling between Vulnerabilities and LLM-Generated Mutants: A Study on Vul4J Dataset. ICST 2024: 305-316 - [i84]Pantelis Dogoulis, Matthieu Jimenez, Salah Ghamizi, Maxime Cordy, Yves Le Traon:
Robustness Analysis of AI Models in Critical Energy Systems. CoRR abs/2406.14361 (2024) - 2023
- [j98]Renaud Rwemalika, Sarra Habchi, Mike Papadakis, Yves Le Traon, Marie-Claude Brasseur:
Smells in system user interactive tests. Empir. Softw. Eng. 28(1): 20 (2023) - [j97]Sylvain Kubler, Matthieu Renard, Sankalp Ghatpande, Jean-Philippe Georges, Yves Le Traon:
Decision support system for blockchain (DLT) platform selection based on ITU recommendations: A systematic literature review approach. Expert Syst. Appl. 211: 118704 (2023) - [j96]Yuejun Guo, Qiang Hu, Maxime Cordy, Michail Papadakis, Yves Le Traon:
DRE: density-based data selection with entropy for adversarial-robust deep learning models. Neural Comput. Appl. 35(5): 4009-4026 (2023) - [j95]Joe Lorentz, Thomas Hartmann, Assaad Moawad, François Fouquet, Djamila Aouada, Yves Le Traon:
CalcGraph: taming the high costs of deep learning using models. Softw. Syst. Model. 22(4): 1151-1174 (2023) - [j94]Yves Le Traon, Tao Xie:
Fuzz testing for digital TV receivers and multitasking control software verification. Softw. Test. Verification Reliab. 33(1) (2023) - [j93]Yves Le Traon, Tao Xie:
Model-based testing. Softw. Test. Verification Reliab. 33(2) (2023) - [j92]Yves Le Traon, Tao Xie:
Test infrastructure and environment. Softw. Test. Verification Reliab. 33(3) (2023) - [j91]Yves Le Traon, Tao Xie:
Combinatorial testing and machine learning for automated test generation. Softw. Test. Verification Reliab. 33(4) (2023) - [j90]Yves Le Traon, Tao Xie:
Quality assurance for Internet of Things and speech recognition systems. Softw. Test. Verification Reliab. 33(5) (2023) - [j89]Yves Le Traon, Tao Xie:
Deep neural network supervision and data flow testing. Softw. Test. Verification Reliab. 33(6) (2023) - [j88]Yves Le Traon, Tao Xie:
In vivo testing and integration of proving and testing. Softw. Test. Verification Reliab. 33(7) (2023) - [j87]Yves Le Traon, Tao Xie:
Model-based testing, test case prioritization and testing of virtual reality applications. Softw. Test. Verification Reliab. 33(8) (2023) - [j86]Milos Ojdanic, Ezekiel O. Soremekun, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
Mutation Testing in Evolving Systems: Studying the Relevance of Mutants to Code Evolution. ACM Trans. Softw. Eng. Methodol. 32(1): 14:1-14:39 (2023) - [j85]Imen Sayar, Alexandre Bartel, Eric Bodden, Yves Le Traon:
An In-depth Study of Java Deserialization Remote-Code Execution Exploits and Vulnerabilities. ACM Trans. Softw. Eng. Methodol. 32(1): 25:1-25:45 (2023) - [j84]Ahmed Khanfir, Anil Koyuncu, Mike Papadakis, Maxime Cordy, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon:
iBiR: Bug-report-driven Fault Injection. ACM Trans. Softw. Eng. Methodol. 32(2): 33:1-33:31 (2023) - [j83]Aayush Garg, Milos Ojdanic, Renzo Degiovanni, Thierry Titcheu Chekam, Mike Papadakis, Yves Le Traon:
Cerebro: Static Subsuming Mutant Selection. IEEE Trans. Software Eng. 49(1): 24-43 (2023) - [j82]Milos Ojdanic, Aayush Garg, Ahmed Khanfir, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
Syntactic Versus Semantic Similarity of Artificial and Real Faults in Mutation Testing Studies. IEEE Trans. Software Eng. 49(7): 3922-3938 (2023) - [c254]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
On Evaluating Adversarial Robustness of Chest X-ray Classification. SafeAI@AAAI 2023 - [c253]Milos Ojdanic, Ahmed Khanfir, Aayush Garg, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
On Comparing Mutation Testing Tools through Learning-based Mutant Selection. AST 2023: 35-46 - [c252]Amal Akli, Guillaume Haben, Sarra Habchi, Mike Papadakis, Yves Le Traon:
FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning. AST 2023: 140-151 - [c251]Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon:
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment. CAIN 2023: 56-67 - [c250]Jie Zhang, Wei Ma, Qiang Hu, Shangqing Liu, Xiaofei Xie, Yves Le Traon, Yang Liu:
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search. EMNLP (Findings) 2023: 9706-9716 - [c249]Yuejun Guo, Qiang Hu, Qiang Tang, Yves Le Traon:
An Empirical Study of the Imbalance Issue in Software Vulnerability Detection. ESORICS (4) 2023: 371-390 - [c248]Luiz Carvalho, Renzo Degiovanni, Matías Brizzio, Maxime Cordy, Nazareno Aguirre, Yves Le Traon, Mike Papadakis:
ACoRe: Automated Goal-Conflict Resolution. FASE 2023: 3-25 - [c247]Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon:
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. ICML 2023: 11255-11282 - [c246]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon:
CodeS: Towards Code Model Generalization Under Distribution Shift. ICSE (NIER) 2023: 1-6 - [c245]Sai Sathiesh Rajan, Ezekiel O. Soremekun, Sudipta Chattopadhyay, Yves Le Traon:
Poster: Distribution-aware Fairness Test Generation. ICSE Companion 2023: 322-323 - [c244]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon:
Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation. ICSE 2023: 1776-1787 - [c243]Yves Le Traon:
AI is a game-changing technology: how to test and robustify Machine-Learning software? ICST 2023: 12 - [c242]Aayush Garg, Renzo Degiovanni, Facundo Molina, Maxime Cordy, Nazareno Aguirre, Mike Papadakis, Yves Le Traon:
Enabling Efficient Assertion Inference. ISSRE 2023: 623-634 - [c241]Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon:
MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack. ASE 2023: 1708-1712 - [c240]Salijona Dyrmishi, Salah Ghamizi, Thibault Simonetto, Yves Le Traon, Maxime Cordy:
On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks. SP 2023: 1384-1400 - [c239]Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Zhenya Zhang, Yves Le Traon, Jianjun Zhao:
MixCode: Enhancing Code Classification by Mixup-Based Data Augmentation. SANER 2023: 379-390 - [p4]Jabier Martinez, Tewfik Ziadi, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon:
Bottom-Up Technologies for Reuse: A Framework to Support Extractive Software Product Line Adoption Activities. Handbook of Re-Engineering Software Intensive Systems into Software Product Lines 2023: 355-377 - [i83]Ahmed Khanfir, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
Efficient Mutation Testing via Pre-Trained Language Models. CoRR abs/2301.03543 (2023) - [i82]Aayush Garg, Renzo Degiovanni, Facundo Molina, Mike Papadakis, Nazareno Aguirre, Maxime Cordy, Yves Le Traon:
Assertion Inferring Mutants. CoRR abs/2301.12284 (2023) - [i81]Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon:
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. CoRR abs/2302.02907 (2023) - [i80]Guillaume Haben, Sarra Habchi, Mike Papadakis, Maxime Cordy, Yves Le Traon:
The Importance of Discerning Flaky from Fault-triggering Test Failures: A Case Study on the Chromium CI. CoRR abs/2302.10594 (2023) - [i79]Aayush Garg, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
Vulnerability Mimicking Mutants. CoRR abs/2303.04247 (2023) - [i78]Luiz Carvalho, Renzo Degiovanni, Matías Brizzio, Maxime Cordy, Nazareno Aguirre, Yves Le Traon, Mike Papadakis:
ACoRe: Automated Goal-Conflict Resolution. CoRR abs/2303.05213 (2023) - [i77]Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao:
Boosting Source Code Learning with Data Augmentation: An Empirical Study. CoRR abs/2303.06808 (2023) - [i76]Martin Gubri, Maxime Cordy, Yves Le Traon:
Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability. CoRR abs/2304.02688 (2023) - [i75]Jie Zhang, Wei Ma, Qiang Hu, Xiaofei Xie, Yves Le Traon, Yang Liu:
RNNS: Representation Nearest Neighbor Search Black-Box Attack on Code Models. CoRR abs/2305.05896 (2023) - [i74]Sai Sathiesh Rajan, Ezekiel O. Soremekun, Yves Le Traon, Sudipta Chattopadhyay:
Distribution-aware Fairness Test Generation. CoRR abs/2305.13935 (2023) - [i73]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. CoRR abs/2306.01250 (2023) - [i72]Yuejun Guo, Seifeddine Bettaieb, Qiang Hu, Yves Le Traon, Qiang Tang:
CodeLens: An Interactive Tool for Visualizing Code Representations. CoRR abs/2307.14902 (2023) - [i71]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Yves Le Traon:
Evaluating the Robustness of Test Selection Methods for Deep Neural Networks. CoRR abs/2308.01314 (2023) - [i70]Salah Ghamizi, Maxime Cordy, Yuejun Guo, Mike Papadakis, Yves Le Traon:
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations. CoRR abs/2309.05381 (2023) - [i69]Thibault Simonetto, Salah Ghamizi, Antoine Desjardins, Maxime Cordy, Yves Le Traon:
Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Data. CoRR abs/2311.04503 (2023) - 2022
- [j81]Arthur D. Sawadogo, Tegawendé F. Bissyandé, Naouel Moha, Kevin Allix, Jacques Klein, Li Li, Yves Le Traon:
SSPCatcher: Learning to catch security patches. Empir. Softw. Eng. 27(6): 151 (2022) - [j80]Aayush Garg, Renzo Degiovanni, Matthieu Jimenez, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Learning from what we know: How to perform vulnerability prediction using noisy historical data. Empir. Softw. Eng. 27(7): 169 (2022) - [j79]Nikolaos Antoniadis, Maxime Cordy, Angelo Sifaleras, Yves Le Traon:
A variable neighborhood search simheuristic algorithm for reliability optimization of smart grids under uncertainty. Int. Trans. Oper. Res. 29(4): 2172-2200 (2022) - [j78]Kisub Kim, Sankalp Ghatpande, Kui Liu, Anil Koyuncu, Dongsun Kim, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon:
DigBug - Pre/post-processing operator selection for accurate bug localization. J. Syst. Softw. 189: 111300 (2022) - [j77]Marcelo Luis Ruiz Rodríguez, Sylvain Kubler, Andrea de Giorgio, Maxime Cordy, Jérémy Robert, Yves Le Traon:
Multi-agent deep reinforcement learning based Predictive Maintenance on parallel machines. Robotics Comput. Integr. Manuf. 78: 102406 (2022) - [j76]Yves Le Traon, Tao Xie:
Integration testing and metamorphic testing. Softw. Test. Verification Reliab. 32(4) (2022) - [j75]Yves Le Traon, Tao Xie:
Combinatorial testing and model checking. Softw. Test. Verification Reliab. 32(6) (2022) - [j74]Patrick Keller, Abdoul Kader Kaboré, Laura Plein, Jacques Klein, Yves Le Traon, Tegawendé F. Bissyandé:
What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning. ACM Trans. Softw. Eng. Methodol. 31(2): 31:1-31:34 (2022) - [j73]Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Lei Ma, Mike Papadakis, Yves Le Traon:
An Empirical Study on Data Distribution-Aware Test Selection for Deep Learning Enhancement. ACM Trans. Softw. Eng. Methodol. 31(4): 78:1-78:30 (2022) - [c238]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Adversarial Robustness in Multi-Task Learning: Promises and Illusions. AAAI 2022: 697-705 - [c237]Badr Souani, Ahmed Khanfir, Alexandre Bartel, Kevin Allix, Yves Le Traon:
Android Malware Detection Using BERT. ACNS Workshops 2022: 575-591 - [c236]Yuejun Guo, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Robust active learning: sample-efficient training of robust deep learning models. CAIN 2022: 41-42 - [c235]Adriano Franci, Maxime Cordy, Martin Gubri, Mike Papadakis, Yves Le Traon:
Influence-driven data poisoning in graph-based semi-supervised classifiers. CAIN 2022: 77-87 - [c234]Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen:
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. ECCV (4) 2022: 603-618 - [c233]Sarra Habchi, Guillaume Haben, Jeongju Sohn, Adriano Franci, Mike Papadakis, Maxime Cordy, Yves Le Traon:
What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness. ICSME 2022: 352-363 - [c232]Sarra Habchi, Guillaume Haben, Mike Papadakis, Maxime Cordy, Yves Le Traon:
A Qualitative Study on the Sources, Impacts, and Mitigation Strategies of Flaky Tests. ICST 2022: 244-255 - [c231]Thibault Simonetto, Salijona Dyrmishi, Salah Ghamizi, Maxime Cordy, Yves Le Traon:
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. IJCAI 2022: 1313-1319 - [c230]Wei Ma, Mengjie Zhao, Ezekiel O. Soremekun, Qiang Hu, Jie M. Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon:
GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses. MSR 2022: 524-536 - [c229]Ahmed Khanfir, Matthieu Jimenez, Mike Papadakis, Yves Le Traon:
CodeBERT-nt: Code Naturalness via CodeBERT. QRS 2022: 936-947 - [c228]Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen:
Efficient and transferable adversarial examples from bayesian neural networks. UAI 2022: 738-748 - [i68]Salijona Dyrmishi, Salah Ghamizi, Thibault Simonetto, Yves Le Traon, Maxime Cordy:
On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks. CoRR abs/2202.03277 (2022) - [i67]Yuejun Guo, Qiang Hu, Maxime Cordy, Xiaofei Xie, Mike Papadakis, Yves Le Traon:
Labeling-Free Comparison Testing of Deep Learning Models. CoRR abs/2204.03994 (2022) - [i66]Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon:
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment. CoRR abs/2204.04220 (2022) - [i65]Ezekiel O. Soremekun, Mike Papadakis, Maxime Cordy, Yves Le Traon:
Software Fairness: An Analysis and Survey. CoRR abs/2205.08809 (2022) - [i64]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
CodeS: A Distribution Shift Benchmark Dataset for Source Code Learning. CoRR abs/2206.05480 (2022) - [i63]Sarra Habchi, Guillaume Haben, Jeongju Sohn, Adriano Franci, Mike Papadakis, Maxime Cordy, Yves Le Traon:
What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness. CoRR abs/2207.10143 (2022) - [i62]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Efficient Testing of Deep Neural Networks via Decision Boundary Analysis. CoRR abs/2207.10942 (2022) - [i61]Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen:
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. CoRR abs/2207.13129 (2022) - [i60]Ahmed Khanfir, Matthieu Jimenez, Mike Papadakis, Yves Le Traon:
CodeBERT-nt: code naturalness via CodeBERT. CoRR abs/2208.06042 (2022) - [i59]Imen Sayar, Alexandre Bartel, Eric Bodden, Yves Le Traon:
An In-depth Study of Java Deserialization Remote-Code Execution Exploits and Vulnerabilities. CoRR abs/2208.08173 (2022) - [i58]Amal Akli, Guillaume Haben, Sarra Habchi, Mike Papadakis, Yves Le Traon:
Predicting Flaky Tests Categories using Few-Shot Learning. CoRR abs/2208.14799 (2022) - [i57]Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao:
Enhancing Code Classification by Mixup-Based Data Augmentation. CoRR abs/2210.03003 (2022) - [i56]Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao:
Enhancing Mixup-Based Graph Learning for Language Processing via Hybrid Pooling. CoRR abs/2210.03123 (2022) - [i55]Salah Ghamizi, Maxime Cordy, Michail Papadakis, Yves Le Traon:
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices. CoRR abs/2212.08130 (2022) - 2021
- [j72]Julien Polge, Sankalp Ghatpande, Sylvain Kubler, Jérémy Robert, Yves Le Traon:
BlockPerf: A Hybrid Blockchain Emulator/Simulator Framework. IEEE Access 9: 107858-107872 (2021) - [j71]Julien Polge, Jérémy Robert, Yves Le Traon:
Permissioned blockchain frameworks in the industry: A comparison. ICT Express 7(2): 229-233 (2021) - [j70]Paul-Lou Benedick, Jérémy Robert, Yves Le Traon:
A Systematic Approach for Evaluating Artificial Intelligence Models in Industrial Settings. Sensors 21(18): 6195 (2021) - [j69]Wei Ma, Mike Papadakis, Anestis Tsakmalis, Maxime Cordy, Yves Le Traon:
Test Selection for Deep Learning Systems. ACM Trans. Softw. Eng. Methodol. 30(2): 13:1-13:22 (2021) - [j68]