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Chao Zhang
239 publications
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∙ 08/18/2023

SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection

Mutation-based fuzzing is popular and effective in discovering unseen co...

0 Kunpeng Zhang, et al. ∙

∙ 05/22/2023

The "code” of Ethics:A Holistic Audit of AI Code Generators

AI-powered programming language generation (PLG) models have gained incr...

0 Wanlun Ma, et al. ∙

∙ 01/17/2022

Characterizing Sensor Leaks in Android Apps

While extremely valuable to achieve advanced functions, mobile phone sen...

0 Xiaoyu Sun, et al. ∙

∙ 11/16/2021

NatiDroid: Cross-Language Android Permission Specification

The Android system manages access to sensitive APIs by permission enforc...

0 Chaoran Li, et al. ∙

∙ 05/12/2021

Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference

The proliferation of Internet of Things (IoT) devices has made people's ...

0 Xiaotao Feng, et al. ∙

∙ 10/23/2020

DeFuzz: Deep Learning Guided Directed Fuzzing

Fuzzing is one of the most effective technique to identify potential sof...

11 Xiaogang Zhu, et al. ∙

∙ 08/02/2020

On the Security of Networked Control Systems in Smart Vehicle and its Adaptive Cruise Control

With the benefits of Internet of Vehicles (IoV) paradigm, come along unp...

0 Faezeh Farivar, et al. ∙

∙ 06/26/2020

Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity

Computer users are generally faced with difficulties in making correct s...

0 Tingmin Wu, et al. ∙

∙ 10/14/2019

Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models

Deep Neural Networks (DNNs) are vulnerable to deliberately crafted adver...

0 Derui, et al. ∙

∙ 07/17/2019

An Overview of Attacks and Defences on Intelligent Connected Vehicles

Cyber security is one of the most significant challenges in connected ve...

0 Mahdi Dibaei, et al. ∙

∙ 05/04/2019

A Feature-Oriented Corpus for Understanding, Evaluating and Improving Fuzz Testing

Fuzzing is a promising technique for detecting security vulnerabilities....

0 Xiaogang Zhu, et al. ∙

∙ 05/02/2019

Bug Searching in Smart Contract

With the frantic development of smart contracts on the Ethereum platform...

0 Xiaotao Feng, et al. ∙

∙ 02/06/2019

Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples

We demonstrated that Non-Maximum Suppression (NMS), which is commonly us...

0 Derui Wang, et al. ∙

∙ 08/10/2018

Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection

Machine learning based solutions have been successfully employed for aut...

0 Xiao Chen, et al. ∙

∙ 05/18/2018

Catering to Your Concerns: Automatic Generation of Personalised Security-Centric Descriptions for Android Apps

Android users are increasingly concerned with the privacy of their data ...

0 Tingmin Wu, et al. ∙

∙ 05/16/2018

Using AI to Hack IA: A New Stealthy Spyware Against Voice Assistance Functions in Smart Phones

Intelligent Personal Assistant (IA), also known as Voice Assistant (VA),...

0 Rongjunchen Zhang, et al. ∙

∙ 03/14/2018

Defensive Collaborative Multi-task Training - Defending against Adversarial Attack towards Deep Neural Networks

Deep neural network (DNNs) has shown impressive performance on hard perc...

0 Derek Wang, et al. ∙

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