Explanipedia

A Well-Tested Pump Card Classification and Identification Algorithm Based on Time Series Analysis Techniques Open

Hongqiang Yang, Jingxin Wang, Hao Liu, Shuai Wang, Quanxin Zhang · 2024

To accurately identify the operational conditions of oil pumping wells, promptly monitor the working status of oil wells, expedite responses to sudden pumping well accidents, and ensure orderly production at the oil extraction site, this p…

Maxwell’s Demon in MLP-Mixer: towards transferable adversarial attacks Open

Haoran Lyu, Yajie Wang, Yu‐an Tan, Huipeng Zhou, Yuhang Zhao , et al. · 2024

Models based on MLP-Mixer architecture are becoming popular, but they still suffer from adversarial examples. Although it has been shown that MLP-Mixer is more robust to adversarial attacks compared to convolutional neural networks (CNNs),…

Delving Deep into Reverse Engineering of UEFI Firmwares via Human Interface Infrastructure Open

Siyi Chen, Yu‐an Tan, Kefan Qiu, Qikun Zhang, Yuanzhang Li , et al. · 2023

The Unified Extensible Firmware Interface (UEFI) provides a specification of the software interface between an OS and its underlying platform firmware. UEFI UI is an interactive interface that allows users to configure and manage UEFI sett…

Att&Ck Based Advanced Persistent Threat Attacks Risk Propagation Assessment Model for Zero Trust Networks Open

Jingci Zhang, Jun Zheng, Zheng Zhang, Chen Tian, Yu‐an Tan , et al. · 2023

Clean‐label poisoning attacks on federated learning for <span>IoT</span> Open

Jie Yang, Jun Zheng, Thar Baker, Shuai Tang, Yu‐an Tan , et al. · 2022

Federated Learning (FL) is suitable for the application scenarios of distributed edge collaboration of the Internet of Things (IoT). It can provide data security and privacy, which is why it is widely used in the IoT applications such as I…

Enhancing the Transferability of Adversarial Examples with Random Patch Open

Yaoyuan Zhang, Yu‐an Tan, Tian Chen, Xinrui Liu, Quanxin Zhang , et al. · 2022

Adversarial examples can fool deep learning models, and their transferability is critical for attacking black-box models in real-world scenarios. Existing state-of-the-art transferable adversarial attacks tend to exploit intrinsic features…

Enhancing Clean Label Backdoor Attack with Two-phase Specific Triggers Open

Nan Luo, Yuanzhang Li, Yajie Wang, Shangbo Wu, Yu‐an Tan , et al. · 2022

Backdoor attacks threaten Deep Neural Networks (DNNs). Towards stealthiness, researchers propose clean-label backdoor attacks, which require the adversaries not to alter the labels of the poisoned training datasets. Clean-label settings ma…

Boosting Adversarial Transferability of MLP-Mixer Open

Haoran Lyu, Yajie Wang, Yu‐an Tan, Huipeng Zhou, Yuhang Zhao , et al. · 2022

The security of models based on new architectures such as MLP-Mixer and ViTs needs to be studied urgently. However, most of the current researches are mainly aimed at the adversarial attack against ViTs, and there is still relatively littl…

Design of Transmitting Antenna for Aero-engine Telemetry Information Transmission System Open

Ze Li, Yunfang Ouyang, Zhou Huang, Quanxin Zhang · 2022

The demand of aero-engine for non-contact telemetry information transmission is very urgent. Based on the analysis of the characteristics of aero-engine telemetry information transmission system, the rotor disk and stator disk suitable for…

Design of Wireless Charging Coils for Aero-engine Telemetry Information Transmission System Open

Ze Li, Yunfang Ouyang, Zhou Huang, Quanxin Zhang · 2022

In order to meet the need of non-contact transmission of aero-engine telemetry information, first of all, a rotor disk and a stator disk suitable for near field communication are designed in this paper, then, the coil design of wireless ch…

Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity Open

Yajie Wang, Shangbo Wu, Wenyi Jiang, Shengang Hao, Yu‐an Tan , et al. · 2021

Deep neural networks (DNNs) have been found to be vulnerable to adversarial examples. Adversarial examples are malicious images with visually imperceptible perturbations. While these carefully crafted perturbations restricted with tight Lp…

Study on Slag Forming Route of Dephosphorization in Combined Blown Converter Open

Bin Zhu, Mingmei Zhu, Jie Luo, Xin Qiu, Yu Wang , et al. · 2021

In order to achieve the purpose of high-efficiency dephosphorization by single-slag method during the combined blown converter steelmaking process, the CaO-SiO2-FetO-MgO-MnO-P2O5 slag system was taken as the research object, and the slag-f…

Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity Open

Yajie Wang, Shangbo Wu, Wenyi Jiang, Shengang Hao, Yu‐an Tan , et al. · 2021

Deep neural networks (DNNs) have been found to be vulnerable to adversarial examples. Adversarial examples are malicious images with visually imperceptible perturbations. While these carefully crafted perturbations restricted with tight $\…

Towards cross-task universal perturbation against black-box object detectors in autonomous driving Open

Quanxin Zhang, Yuhang Zhao, Yajie Wang, Thar Baker, Jian Zhang , et al. · 2020

Boosting Targeted Black-Box Attacks via Ensemble Substitute Training and Linear Augmentation Open

Xianfeng Gao, Yu‐an Tan, Hongwei Jiang, Quanxin Zhang, Xiaohui Kuang · 2019

These years, Deep Neural Networks (DNNs) have shown unprecedented performance in many areas. However, some recent studies revealed their vulnerability to small perturbations added on source inputs. Furthermore, we call the ways to generate…

A High-Imperceptibility and Histogram-Shifting Data Hiding Scheme for JPEG Images Open

Yuanzhang Li, Shangjun Yao, Kai Yang, Yu‐an Tan, Quanxin Zhang · 2019

Data hiding technology plays an important role in many areas related to people's life, such as military and medical images. However, it is difficult to obtain high embedding capacity in compressed images, and it may cause obvious image dis…

A Two-Way VoLTE Covert Channel With Feedback Adaptive to Mobile Network Environment Open

Xiaosong Zhang, Linhong Guo, Yuan Xue, Quanxin Zhang · 2019

In the existing network covert channel research, the transmission of secret messages is one-way, lacking confirmation feedback on whether the secret message is successfully accepted. However, voice over LTE (VoLTE) has real-time interactiv…

A CMA-ES-Based Adversarial Attack on Black-Box Deep Neural Networks Open

Xiaohui Kuang, Hongyi Liu, Ye Wang, Qikun Zhang, Quanxin Zhang , et al. · 2019

Deep neural networks(DNNs) are widely used in AI-controlled Cyber-Physical Systems (CPS) to controll cars, robotics, water treatment plants and railways. However, DNNs have vulnerabilities to well-designed input samples that are called adv…

Attacking Black-Box Image Classifiers With Particle Swarm Optimization Open

Quanxin Zhang, Kunqing Wang, Wenjiao Zhang, Jingjing Hu · 2019

In order to better solve the shortcomings of Deep Neural Networks (DNNs) susceptible to adversarial examples, evaluating existing neural network classification performance and increasing training sets to improve the robustness of classific…

An Identity-Based Anti-Quantum Privacy-Preserving Blind Authentication in Wireless Sensor Networks Open

Hongfei Zhu, Yu‐an Tan, Liehuang Zhu, Xianmin Wang, Quanxin Zhang , et al. · 2018

With the development of wireless sensor networks, IoT devices are crucial for the Smart City; these devices change people’s lives such as e-payment and e-voting systems. However, in these two systems, the state-of-art authentication protoc…

An end-to-end covert channel via packet dropout for mobile networks Open

Yu‐an Tan, Xinting Xu, Liang Chen, Xiaosong Zhang, Quanxin Zhang , et al. · 2018

Voice over Long-Term Evolution enables reliable transmission among enormous Internet of Things devices, by providing end-to-end quality of service for Internet protocol–based services such as audio, video, and multimedia messaging. The res…

A Dynamic and Cross-Domain Authentication Asymmetric Group Key Agreement in Telemedicine Application Open

Qikun Zhang, Yong Gan, Quanxin Zhang, Ruifang Wang, Yu‐an Tan · 2018

Telemedicine offers medical services remotely via telecommunications systems and physiological monitoring devices. Group-oriented communication is an important application for telemedicine. However, transmission of information over an inse…

An Efficient Identity‐Based Proxy Blind Signature for Semioffline Services Open

Hongfei Zhu, Yu‐an Tan, Liehuang Zhu, Quanxin Zhang, Yuanzhang Li · 2018

Fog computing extends the cloud computing to the network edge and allows deploying a new type of semioffline services, which can provide real‐time transactions between two entities, while the central cloud server is offline and network edg…

Oscillation Criteria for Second-Order Nonlinear Neutral Delay Dynamic Equations with Damping on Time Scales Open

Shouhua Liu, Quanxin Zhang · 2018

In this paper, we discuss oscillation criteria for second-order nonlinear neutral delay dynamic equations with damping on time scales by using the generalized Riccati transformation and the inequality technique. Under certain conditions, w…

Improving the Power Conversion Efficiency of Carbon Quantum Dot-Sensitized Solar Cells by Growing the Dots on a TiO2 Photoanode In Situ Open

Quanxin Zhang, Geping Zhang, Xiaofeng Sun, Keyang Yin, Hongguang Li · 2017

Dye-sensitized solar cells (DSSCs) are highly promising since they can potentially solve global energy issues. The development of new photosensitizers is the key to fully realizing perspectives proposed to DSSCs. Being cheap and nontoxic, …

Microwave assisted synthesis of MoS<sub>2</sub>/nitrogen-doped carbon shell–core microspheres for Pt-free dye-sensitized solar cells Open

Guang Zhu, Haifeng Xu, Hongyan Wang, Wenqi Wang, Quanxin Zhang , et al. · 2017

Novel MoS₂/nitrogen-doped carbon shell–core microsphere counter electrodes of dye-sensitized solar cells with a high efficiency of 6.2%.

Determining Image Base of Firmware Files for ARM Devices Open

Ruijin Zhu, Yu‐an Tan, Quanxin Zhang, Fei Wu, Jun Zheng , et al. · 2016

Disassembly, as a principal reverse-engineering tool, is the process of recovering the equivalent assembly instructions of a program's machine code from its binary representation. However, when disassembling a firmware file, the disassembl…

Research on Allocator Strategy of FAT32 File System Based on Linux a Windows Open

Qiyang Li, Quanxin Zhang, Yu‐an Tan, Yuanzhang Li, Jun Zheng · 2016

As FAT32 file system implemented on Windows is not open source, this paper tries to analyze its allocator strategy by analyzing the structure and principle of DBR, FSINFO sectors on FAT32, as well as the source code of FAT32 file system im…

New Oscillation Criteria for the Second Order Nonlinear Differential Equations with Damping Open

Quanxin Zhang, Xia Song, Shouhua Liu · 2016

In this paper, we are concerned with a class of second-order nonlinear differential equations with damping term. By using the generalized Riccati technique and the integral averaging technique of Philos-type, two new oscillation criteria a…

Large Scale Network Topology Visualization System Based on Three.JS Open

Yuxiao Wang, Yuanzhang Li, Yu‐an Tan, Quanxin Zhang, Jun Zheng · 2016

with the rapid development of visualization, network visualization has become an important branch, which is applied in many aspects of life such as business, education and virtual community.But existed network visualization systems are bas…

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