116 citations · 219 across the 17 of their papers we have counts for
11 papers · 1 filter
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…
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…
The "code'' of Ethics:A Holistic Audit of AI Code Generators
Wanlun Ma, Yiliao Song, Minhui Xue +2
AI-powered programming language generation (PLG) models have gained increasing attention due to their ability to generate source code of programs in a few seconds with a plain prog…
The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram Matrices
Wanlun Ma, Derui Wang, Ruoxi Sun +3
Deep Neural Networks (DNNs) are susceptible to backdoor attacks during training. The model corrupted in this way functions normally, but when triggered by certain patterns in the i…
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…
NatiDroid: Cross-Language Android Permission Specification
Chaoran Li, Xiao Chen, Ruoxi Sun +5
The Android system manages access to sensitive APIs by permission enforcement. An application (app) must declare proper permissions before invoking specific Android APIs. However,…
Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference
Xiaotao Feng, Ruoxi Sun, Xiaogang Zhu +5
The proliferation of Internet of Things (IoT) devices has made people's lives more convenient, but it has also raised many security concerns. Due to the difficulty of obtaining and…
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…
Analysis of Trending Topics and Text-based Channels of Information Delivery in Cybersecurity
Tingmin Wu, Wanlun Ma, Sheng Wen +4
Computer users are generally faced with difficulties in making correct security decisions. While an increasingly fewer number of people are trying or willing to take formal securit…
SIAT: A Systematic Inter-Component Communication Analysis Technology for Detecting Threats on Android
Yupeng Hu, Zhe Jin, Wenjia Li +2
In this paper, we present the design and implementation of a Systematic Inter-Component Communication Analysis Technology (SIAT) consisting of two key modules: \emph{Monitor} and \…