activity
20182023
most citedMachine Learning Based Cyber Attacks Targeting on Controlled Information: A Survey

116 citations · 219 across the 17 of their papers we have counts for

collaborators

17 papers

cs.CR2023★ 6 cited

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…

cs.LG2023★ 1 cited

SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendation

Sicen Liu, Xiaolong Wang, JIngcheng Du +6

Effectively medication recommendation with complex multimorbidity conditions is a critical task in healthcare. Most existing works predicted medications based on longitudinal recor…

cs.CR2023

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…

cs.CR2023

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…

cs.CV2023★ 1 cited

Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection

Chuer Yu, Xuhong Zhang, Yuxuan Duan +5

Despite the fact that DeepFake forgery detection algorithms have achieved impressive performance on known manipulations, they often face disastrous performance degradation when gen…

eess.SP2022

High-Accuracy Absolute-Position-Aided Code Phase Tracking Based on RTK/INS Deep Integration in Challenging Static Scenarios

Yiran Luo, Li-Ta Hsu, Yang Jiang +4

Many multi-sensor navigation systems urgently demand accurate positioning initialization from global navigation satellite systems (GNSSs) in challenging static scenarios. However,…

cs.CR2022★ 2 cited

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…

cs.CR2022★ 2 cited

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…

math.AP2022

Weak solutions to an initial-boundary value problem for a continuum equation of motion of grain boundaries

Peicheng Zhu, Lei Yu, Yang Xiang

We investigate an initial-(periodic-)boundary value problem for a continuum equation, which is a model for motion of grain boundaries based on the underlying microscopic mechanisms…

math.AP2022

Well-posedness of a modified degenerate Cahn-Hilliard model for surface diffusion

Xiaohua Niu, Yang Xiang, Xiaodong Yan

We study the well-posedness of a modified degenerate Cahn-Hilliard type model for surface diffusion. With degenerate phase-dependent diffusion mobility and additional stabilizing f…

cs.CR2021★ 2 cited

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,…

cs.CR2021★ 8 cited

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…

cs.CR2021★ 4 cited

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…

cs.CR2021★ 116 cited

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…

cs.CR2020

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…

cs.CR2020★ 2 cited

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 \…

cs.AI2018★ 75 cited

Triple Trustworthiness Measurement for Knowledge Graph

Shengbin Jia, Yang Xiang, Xiaojun Chen

The Knowledge graph (KG) uses the triples to describe the facts in the real world. It has been widely used in intelligent analysis and applications. However, possible noises and co…