54 citations · 65 across the 12 of their papers we have counts for
12 papers
A Longitudinal Study of Android Apps Signing Key Protection
Mark Huasong Meng, Qing Zhang, Weirao Lu +1
Android app signing relies on developer-managed credentials, making secure key protection essential for the integrity of the software supply chain. A recent platform key leakage in…
Controllable and explainable personality sliders for LLMs at inference time
Florian Hoppe, David Khachaturov, Robert Mullins +1
Aligning Large Language Models (LLMs) with specific personas typically relies on expensive and monolithic Supervised Fine-Tuning (SFT) or RLHF. While effective, these methods requi…
Beyond the Scope: Security Testing of Permission Management in Team Workspace
Liuhuo Wan, Chuan Yan, Mark Huasong Meng +4
Nowadays team workspaces are widely adopted for multi-user collaboration and digital resource management. To further broaden real-world applications, mainstream team workspaces pla…
Detecting Manipulated Contents Using Knowledge-Grounded Inference
Mark Huasong Meng, Ruizhe Wang, Meng Xu +2
The detection of manipulated content, a prevalent form of fake news, has been widely studied in recent years. While existing solutions have been proven effective in fact-checking a…
I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution
Soohyeon Choi, Yong Kiam Tan, Mark Huasong Meng +4
Source code authorship attribution is important in software forensics, plagiarism detection, and protecting software patch integrity. Existing techniques often rely on supervised m…
GlitchProber: Advancing Effective Detection and Mitigation of Glitch Tokens in Large Language Models
Zhibo Zhang, Wuxia Bai, Yuxi Li +6
Large language models (LLMs) have achieved unprecedented success in the field of natural language processing. However, the black-box nature of their internal mechanisms has brought…
Assessing Privacy Compliance of Android Third-Party SDKs
Mark Huasong Meng, Chuan Yan, Qing Zhang +5
Third-party Software Development Kits (SDKs) are widely adopted in Android app development, to effortlessly accelerate development pipelines and enhance app functionality. However,…
Exploring ChatGPT App Ecosystem: Distribution, Deployment and Security
Chuan Yan, Ruomai Ren, Mark Huasong Meng +3
ChatGPT has enabled third-party developers to create plugins to expand ChatGPT's capabilities.These plugins are distributed through OpenAI's plugin store, making them easily access…
PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks
Mark Huasong Meng, Hao Guan, Liuhuo Wan +3
We present PAODING, a toolkit to debloat pretrained neural network models through the lens of data-free pruning. To preserve the model fidelity, PAODING adopts an iterative process…
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective
Mark Huasong Meng, Guangdong Bai, Sin Gee Teo +4
Neural networks have been widely applied in security applications such as spam and phishing detection, intrusion prevention, and malware detection. This black-box method, however,…
Supervised Robustness-preserving Data-free Neural Network Pruning
Mark Huasong Meng, Guangdong Bai, Sin Gee Teo +1
When deploying pre-trained neural network models in real-world applications, model consumers often encounter resource-constraint platforms such as mobile and smart devices. They ty…
Analyzing Use of High Privileges on Android: An Empirical Case Study of Screenshot and Screen Recording Applications
Mark Huasong Meng, Guangdong Bai, Joseph K. Liu +2
The number of Android smartphone and tablet users has experienced a rapid growth in the past few years and it raises users' awareness on the privacy and security of their mobile de…