Lingwei Chen

Proceedings of the Security and Privacy in Communication Networks, 2022

Adversarially Reprogramming Pretrained Neural Networks for Data-limited and Cost-efficient Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Summarizing Source Code from Structure and Context.

[BibT_eX]

[DOI]

Shifu Hou

Proceedings of the International Joint Conference on Neural Networks, 2022

FuzzBoost: Reinforcement Compiler Fuzzing.

[BibT_eX]

[DOI]

Proceedings of the Information and Communications Security - 24th International Conference, 2022

ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Pyramid Co-Attention Compare Network for Few-Shot Segmentation.

[BibT_eX]

[DOI]

IEEE Access, 2021

Fine-Grained Compiler Identification With Sequence-Oriented Neural Modeling.

[BibT_eX]

[DOI]

IEEE Access, 2021

Turning Attacks into Protection: Social Media Privacy Protection Using Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Watermarking-based Defense against Adversarial Attacks on Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Compare Network with Task-dependent Embeddings for Few-shot Learning.

[BibT_eX]

[DOI]

Ronghua Luo

Defu Zhang

Proceedings of the International Joint Conference on Neural Networks, 2021

Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection.

[BibT_eX]

[DOI]

Yujie Fan

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Plagiarism Detection of Multi-threaded Programs Using Frequent Behavioral Pattern Mining.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2020

Plagiarism Detection of Multi-Threaded Programs via Siamese Neural Networks.

[BibT_eX]

[DOI]

IEEE Access, 2020

Towards Fine-Grained Compiler Identification with Neural Modeling.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

Plagiarism Detection of Multi-threaded Programs using Frequent Behavioral Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

Enhancing Robustness of Graph Convolutional Networks via Dropping Graph Connections.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

Higher-order Weighted Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

iTrustSO: an intelligent system for automatic detection of insecure code snippets in stack overflow.

[BibT_eX]

[DOI]

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

DeepAM: a heterogeneous deep learning framework for intelligent malware detection.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2018

AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection.

[BibT_eX]

[DOI]

CoRR, 2018

DroidEye: Fortifying Security of Learning-Based Classifier Against Adversarial Android Malware Attacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

ICSD: An Automatic System for Insecure Code Snippet Detection in Stack Overflow over Heterogeneous Information Network.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Computer Security Applications Conference, 2018

2017

Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense.

[BibT_eX]

[DOI]

Thirimachos Bourlai

Proceedings of the European Intelligence and Security Informatics Conference, 2017

SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks.

[BibT_eX]

[DOI]

Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

Deep Neural Networks for Automatic Android Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Deep Analysis and Utilization of Malware's Social Relation Network for Its Detection.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data, 2017

An Adversarial Machine Learning Model Against Android Malware Evasion Attacks.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data, 2017

SecureDroid: Enhancing Security of Machine Learning-based Detection against Adversarial Android Malware Attacks.

[BibT_eX]

[DOI]

Shifu Hou

Abu Hasnat Mohammad Rubaiyat

Proceedings of the 33rd Annual Computer Security Applications Conference, 2017

2016

Automatic Detection of Helmet Uses for Construction Safety.

[BibT_eX]

[DOI]

Tanjin Taher Toma

Masoumeh Kalantari Khandani

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

2015

Analyzing File-to-File Relation Network in Malware Detection.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Intelligent malware detection based on file relation graphs.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

2008

Blind Image Restoration Using Divisional Regularization and Wavelet Technique.

[BibT_eX]

[DOI]