 DetectBERT: Towards Full App-Level Representation Learning to Detect
Android MalwareInternational Symposium on Empirical Software Engineering and Measurement (ESEM), 2024 |
 LaFiCMIL: Rethinking Large File Classification from the Perspective of
Correlated Multiple Instance LearningInternational Conference on Applications of Natural Language to Data Bases (NLDB), 2023 |
 DexBERT: Effective, Task-Agnostic and Fine-grained Representation
Learning of Android BytecodeIEEE Transactions on Software Engineering (TSE), 2022 |
 Deep Learning for Android Malware Defenses: a Systematic Literature
ReviewACM Computing Surveys (CSUR), 2021 |
 Deep Neural Network Based Malware Detection Using Two Dimensional Binary
Program FeaturesInternational Conference on Malicious and Unwanted Software (ICMUS), 2015 |
 Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014 |
 Network In NetworkInternational Conference on Learning Representations (ICLR), 2013 |
