Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chendong Feng"'
Publikováno v:
2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6711429fa0227efc9c3cea8e1454d436
https://doi.org/10.1109/qrs-c55045.2021.00011
https://doi.org/10.1109/qrs-c55045.2021.00011
Publikováno v:
International Journal of Applied Electromagnetics and Mechanics. 59:1087-1095
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f93c88d7d9db369b5ad3b75afd2214ee
https://doi.org/10.3233/jae-171197
https://doi.org/10.3233/jae-171197
Publikováno v:
ICSME
Automatic vulnerability detection is challenging. In this paper, we report our in-progress work of vulnerability prediction based on graph neural network (GNN). We propose a general GNN-based framework for predicting the vulnerabilities in program fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccdf1f3b1666c2e2bbff0f4f506e93a0
https://doi.org/10.1109/icsme46990.2020.00096
https://doi.org/10.1109/icsme46990.2020.00096
Autor:
Chendong Feng
Publikováno v:
2019 6th International Conference on Information Science and Control Engineering (ICISCE).
Deep Neural Network (DNN) is a widely used deep learning technique, and ensuring the safety of DNN-based systems is a critical and challenging problem. Robustness is an important safety property of DNN. However, existing work of verifying DNN’s rob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::913136d991bdab95675f25103b935989
https://doi.org/10.1109/icisce48695.2019.00112
https://doi.org/10.1109/icisce48695.2019.00112
Publikováno v:
ICSE (Companion Volume)
Compiler optimizations influence the effectiveness and efficiency of symbolic execution. In this extended abstract, we report our recent results of recommending compiler optimizations for symbolic execution w.r.t. MC/DC coverage. We carried out exten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29afa9400b6c3663f4878943cc48b423
https://doi.org/10.1145/3183440.3195102
https://doi.org/10.1145/3183440.3195102