3 citations · 7 across the 6 of their papers we have counts for
6 papers
Cross-Inlining Binary Function Similarity Detection
Ang Jia, Ming Fan, Xi Xu +3
Binary function similarity detection plays an important role in a wide range of security applications. Existing works usually assume that the query function and target function sha…
Do as You Say: Consistency Detection of Data Practice in Program Code and Privacy Policy in Mini-App
Yin Wang, Ming Fan, Junfeng Liu +6
Mini-app is an emerging form of mobile application that combines web technology with native capabilities. Its features, e.g., no need to download and no installation, have made it…
BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing
Jiali Wei, Ming Fan, Wenjing Jiao +2
Deep neural networks (DNNs) and natural language processing (NLP) systems have developed rapidly and have been widely used in various real-world fields. However, they have been sho…
Comparing One with Many -- Solving Binary2source Function Matching Under Function Inlining
Ang Jia, Ming Fan, Xi Xu +6
Binary2source function matching is a fundamental task for many security applications, including Software Component Analysis (SCA). The "1-to-1" mechanism has been applied in existi…
1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis
Ang Jia, Ming Fan, Wuxia Jin +6
Binary similarity analysis is critical to many code-reuse-related issues and "1-to-1" mechanism is widely applied, where one function in a binary file is matched against one functi…
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods?
Kaidi Jin, Tianwei Zhang, Chao Shen +4
Deep Neural Networks are well known to be vulnerable to adversarial attacks and backdoor attacks, where minor modifications on the input are able to mislead the models to give wron…