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20162024
most citedUnderstanding Android Obfuscation Techniques: A Large-Scale Investigation in the Wild

39 citations · 48 across the 15 of their papers we have counts for

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Showing cs.CRShow all

5 papers · 1 filter

cs.CR2025

Tady: A Neural Disassembler without Structural Constraint Violations

Siliang Qin, Fengrui Yang, Hao Wang +4

Disassembly is a crucial yet challenging step in binary analysis. While emerging neural disassemblers show promise for efficiency and accuracy, they frequently generate outputs vio…

cs.CR2024

I Don't Know You, But I Can Catch You: Real-Time Defense against Diverse Adversarial Patches for Object Detectors

Zijin Lin, Yue Zhao, Kai Chen +1

Deep neural networks (DNNs) have revolutionized the field of computer vision like object detection with their unparalleled performance. However, existing research has shown that DN…

cs.CR2021

Semantics-Recovering Decompilation through Neural Machine Translation

Ruigang Liang, Ying Cao, Peiwei Hu +2

Decompilation transforms low-level program languages (PL) (e.g., binary code) into high-level PLs (e.g., C/C++). It has been widely used when analysts perform security analysis on…

cs.CR201839 cited

Understanding Android Obfuscation Techniques: A Large-Scale Investigation in the Wild

Shuaike Dong, Menghao Li, Wenrui Diao +7

In this paper, we seek to better understand Android obfuscation and depict a holistic view of the usage of obfuscation through a large-scale investigation in the wild. In particula…

cs.CR20164 cited

Context-aware System Service Call-oriented Symbolic Execution of Android Framework with Application to Exploit Generation

Lannan Luo, Qiang Zeng, Chen Cao +7

Android Framework is a layer of software that exists in every Android system managing resources of all Android apps. A vulnerability in Android Framework can lead to severe hacks,…