116 citations · 178 across the 14 of their papers we have counts for
14 papers
Client-side Gradient Inversion Against Federated Learning from Poisoning
Jiaheng Wei, Yanjun Zhang, Leo Yu Zhang +5
Federated Learning (FL) enables distributed participants (e.g., mobile devices) to train a global model without sharing data directly to a central server. Recent studies have revea…
model-based script synthesis for fuzzing
Zian Liu, Chao Chen, Muhammad Ejaz Ahmed +2
Kernel fuzzing is important for finding critical kernel vulnerabilities. Close-source (e.g., Windows) operating system kernel fuzzing is even more challenging due to the lack of so…
SemDiff: Binary Similarity Detection by Diffing Key-Semantics Graphs
Zian Liu, Zhi Zhang, Siqi Ma +6
Binary similarity detection is a critical technique that has been applied in many real-world scenarios where source code is not available, e.g., bug search, malware analysis, and c…
VulMatch: Binary-level Vulnerability Detection Through Signature
Zian Liu, Lei Pan, Chao Chen +4
Similar vulnerability repeats in real-world software products because of code reuse, especially in wildly reused third-party code and libraries. Detecting repeating vulnerabilities…
Security and Privacy Problems in Voice Assistant Applications: A Survey
Jingjin Li, Chao chen, Lei Pan +3
Voice assistant applications have become omniscient nowadays. Two models that provide the two most important functions for real-life applications (i.e., Google Home, Amazon Alexa,…
Hiding Your Signals: A Security Analysis of PPG-based Biometric Authentication
Lin Li, Chao Chen, Lei Pan +3
Recently, physiological signal-based biometric systems have received wide attention. Unlike traditional biometric features, physiological signals can not be easily compromised (usu…
Video is All You Need: Attacking PPG-based Biometric Authentication
Lin Li, Chao Chen, Lei Pan +2
Unobservable physiological signals enhance biometric authentication systems. Photoplethysmography (PPG) signals are convenient owning to its ease of measurement and are usually wel…
FAAG: Fast Adversarial Audio Generation through Interactive Attack Optimisation
Yuantian Miao, Chao Chen, Lei Pan +2
Automatic Speech Recognition services (ASRs) inherit deep neural networks' vulnerabilities like crafted adversarial examples. Existing methods often suffer from low efficiency beca…
A Survey of PPG's Application in Authentication
Lin Li, Chao Chen, Lei Pan +4
Biometric authentication prospered because of its convenient use and security. Early generations of biometric mechanisms suffer from spoofing attacks. Recently, unobservable physio…
Capturing Dynamics of Information Diffusion in SNS: A Survey of Methodology and Techniques
Huacheng Li, Chunhe Xia, Tianbo Wang +3
Studying information diffusion in SNS (Social Networks Service) has remarkable significance in both academia and industry. Theoretically, it boosts the development of other subject…
Information flow based defensive chain for data leakage detection and prevention: a survey
Ning Xi, Chao Chen, Jun Zhang +4
Mobile and IoT applications have greatly enriched our daily life by providing convenient and intelligent services. However, these smart applications have been a prime target of adv…
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
Xiaoyu Zhang, Chao Chen, Yi Xie +3
Deep Neural Network (DNN), one of the most powerful machine learning algorithms, is increasingly leveraged to overcome the bottleneck of effectively exploring and analyzing massive…
Machine Learning Based Cyber Attacks Targeting on Controlled Information: A Survey
Yuantian Miao, Chao Chen, Lei Pan +3
Stealing attack against controlled information, along with the increasing number of information leakage incidents, has become an emerging cyber security threat in recent years. Due…
The Audio Auditor: User-Level Membership Inference in Internet of Things Voice Services
Yuantian Miao, Minhui Xue, Chao Chen +5
With the rapid development of deep learning techniques, the popularity of voice services implemented on various Internet of Things (IoT) devices is ever increasing. In this paper,…