Ming Fan | DeepAI

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Featured Co-authors

Yang Liu
344 publications
Ting Liu
188 publications
Jun Liu
179 publications
Fan Zhang
151 publications
Hao Zhou
145 publications
Yu Li
112 publications
Shuai Li
104 publications
Tianwei Zhang
74 publications
Xin Gao
72 publications
Mingliang Xu
64 publications
Xiapu Luo
59 publications

∙ 02/27/2023

Do as You Say: Consistency Detection of Data Practice in Program Code and Privacy Policy in Mini-App

Mini-app is an emerging form of mobile application that combines web tec...

0 Yin Wang, et al. ∙

∙ 01/25/2023

BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing

Deep neural networks (DNNs) and natural language processing (NLP) system...

0 Jiali Wei, et al. ∙

∙ 10/27/2022

Comparing One with Many – Solving Binary2source Function Matching Under Function Inlining

Binary2source function matching is a fundamental task for many security ...

0 Ang Jia, et al. ∙

∙ 09/13/2022

Rényi Divergence Deep Mutual Learning

This paper revisits an incredibly simple yet exceedingly effective compu...

0 Weipeng Huang, et al. ∙

∙ 05/16/2022

Explanation-Guided Fairness Testing through Genetic Algorithm

The fairness characteristic is a critical attribute of trusted AI system...

0 Ming Fan, et al. ∙

∙ 12/24/2021

One-to-One or One-to-many? What function inlining brings to binary2source similarity analysis

Binary2source code matching is critical to many code-reuse-related tasks...

0 Ang Jia, et al. ∙

∙ 07/27/2021

Towards Black-box Attacks on Deep Learning Apps

Deep learning is a powerful weapon to boost application performance in m...

0 Hongchen Cao, et al. ∙

∙ 03/18/2021

Interpretation-enabled Software Reuse Detection Based on a Multi-Level Birthmark Model

Software reuse, especially partial reuse, poses legal and security threa...

0 Xi Xu, et al. ∙

∙ 03/16/2021

From Innovations to Prospects: What Is Hidden Behind Cryptocurrencies?

The great influence of Bitcoin has promoted the rapid development of blo...

0 Ang Jia, et al. ∙

∙ 08/13/2020

Can We Trust Your Explanations? Sanity Checks for Interpreters in Android Malware Analysis

With the rapid growth of Android malware, many machine learning-based ma...

0 Ming Fan, et al. ∙

∙ 08/13/2020

An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps

The purpose of the General Data Protection Regulation (GDPR) is to provi...

0 Ming Fan, et al. ∙

∙ 06/26/2020

A Unified Framework for Analyzing and Detecting Malicious Examples of DNN Models

Deep Neural Networks are well known to be vulnerable to adversarial atta...

0 Kaidi Jin, et al. ∙

∙ 05/20/2018

DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy

Super-resolution fluorescence microscopy, with a resolution beyond the d...

0 Yu Li, et al. ∙

∙ 10/24/2016

Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization

We propose a new model based on the deconvolutional networks and SAX dis...

0 Zhiguang Wang, et al. ∙

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