Publications (26)
A Practical Adversarial Attack against Sequence-based Deep Learning Malware Classifiers
Kai Tan, Dongyang Zhan, Lin Ye +2
Sequence-based deep learning models (e.g., RNNs), can detect malware by analyzing its behavioral sequences. Meanwhile, these models are susceptible to adversarial attacks. Attacker…
An Adversarial Robust Behavior Sequence Anomaly Detection Approach Based on Critical Behavior Unit Learning
Dongyang Zhan, Kai Tan, Lin Ye +3
Sequential deep learning models (e.g., RNN and LSTM) can learn the sequence features of software behaviors, such as API or syscall sequences. However, recent studies have shown tha…
Shrinking the Kernel Attack Surface Through Static and Dynamic Syscall Limitation
Dongyang Zhan, Zhaofeng Yu, Xiangzhan Yu +2
Linux Seccomp is widely used by the program developers and the system maintainers to secure the operating systems, which can block unused syscalls for different applications and co…
Securing Operating Systems Through Fine-grained Kernel Access Limitation for IoT Systems
Dongyang Zhan, Zhaofeng Yu, Xiangzhan Yu +3
With the development of Internet of Things (IoT), it is gaining a lot of attention. It is important to secure the embedded systems with low overhead. The Linux Seccomp is widely us…
Anomaly Detection in Industrial Control Systems Based on Cross-Domain Representation Learning
Dongyang Zhan, Wenqi Zhang, Lin Ye +3
Industrial control systems (ICSs) are widely used in industry, and their security and stability are very important. Once the ICS is attacked, it may cause serious damage. Therefore…
A Low-overhead Kernel Object Monitoring Approach for Virtual Machine Introspection
Dongyang Zhan, Huhua Li, Lin Ye +3
Monitoring kernel object modification of virtual machine is widely used by virtual-machine-introspection-based security monitors to protect virtual machines in cloud computing, suc…
BPDS: A Blockchain based Privacy-Preserving Data Sharing for Electronic Medical Records
Jingwei Liu, Xiaolu Li, Lin Ye +3
Electronic medical record (EMR) is a crucial form of healthcare data, currently drawing a lot of attention. Sharing health data is considered to be a critical approach to improve t…
An efficient and low-divergence method for generating inhomogeneous and anisotropic turbulence with arbitrary spectra
Hao Guo, Peixue Jiang, Yinhai Zhu +1
In this article, we propose a divergence-free method for the generation of inhomogeneous and anisotropic turbulence. Based on the idea of correlation reconstruction, the method use…
The low-entropy hydration shell at the binding site of spike RBD determines the contagiousness of SARS-CoV-2 variants
Lin Yang, Shuai Guo, Chengyu Houc +9
The infectivity of SARS-CoV-2 depends on the binding affinity of the receptor-binding domain (RBD) of the spike protein with the angiotensin converting enzyme 2 (ACE2) receptor. Th…
A type III radio burst automatic analysis system and statistic results for a half solar-cycle with the Nançay Decameter Array data
Peijin Zhang, Chuan Bing Wang, Lin Ye
We design an event recognition-analysis system that can automatically detect solar type III radio burst and can mine information of the burst from the dynamic spectra observed by N…
KAT-Coder-V2 Technical Report
Fengxiang Li, Han Zhang, Haoyang Huang +43
We present KAT-Coder-V2, an agentic coding model developed by the KwaiKAT team at Kuaishou. KAT-Coder-V2 adopts a "Specialize-then-Unify" paradigm that decomposes agentic coding in…
Exploring and Exploiting the Resource Isolation Attack Surface of WebAssembly Containers
Zhaofeng Yu, Dongyang Zhan, Lin Ye +3
Recently, the WebAssembly (or Wasm) technology has been rapidly evolving, with many runtimes actively under development, providing cross-platform secure sandboxes for Wasm modules…
A High-performance Real-time Container File Monitoring Approach Based on Virtual Machine Introspection
Kai Tan, Dongyang Zhan, Lin Ye +3
As cloud computing continues to advance and become an integral part of modern IT infrastructure, container security has emerged as a critical factor in ensuring the smooth operatio…
Forward Modeling of the Type III Radio Burst Exciter
Peijin Zhang, Chuanbing Wang, Lin Ye +1
In this work, we propose a forward-modeling method to study the trajectory and speed of the interplanetary (IP) Type-III radio burst exciter. The model assumes that the source of a…
An Efficient Calibration Method for Triaxial Gyroscope
Li Wang, Tao Zhang, Lin Ye +2
This paper presents an efficient servomotor-aided calibration method for the triaxial gyroscope. The entire calibration process only requires approximately one minute, and does not…
Vulnerability Prediction Based on Weighted Software Network for Secure Software Building
Shengjun Wei, Hao Zhong, Chun Shan +3
To build a secure communications software, Vulnerability Prediction Models (VPMs) are used to predict vulnerable software modules in the software system before software security te…
Physical Folding Codes for Proteins
Xiaoliang Ma, Chengyu Hou, Liping Shi +5
Exploring and understanding the protein-folding problem has been a long-standing challenge in molecular biology. Here, using molecular dynamics simulation, we reveal how parallel d…
A hydrophobic-interaction-based mechanism trigger docking between the SARS CoV 2 spike and angiotensin-converting enzyme 2
Jiacheng Li, Xiaoliang Ma, Shuai Guo +8
A recent experimental study found that the binding affinity between the cellular receptor human angiotensin converting enzyme 2 (ACE2) and receptor-binding domain (RBD) in spike (S…
Space Layout of Low-entropy Hydration Shells Guides Protein Binding
Lin Yang, Shuai Guo, Chengyu Hou +9
Protein-protein binding enables orderly and lawful biological self-organization, and is therefore considered a miracle of nature. Protein-protein binding is steered by electrostati…
Hydrophobic interaction determines docking affinity of SARS CoV 2 variants with antibodies
Jiacheng Li, Chengyu Hou, Menghao Wang +10
Preliminary epidemiologic, phylogenetic and clinical findings suggest that several novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants have increased transm…
A high-performance virtual machine filesystem monitor in cloud-assisted cognitive IoT
Dongyang Zhan, Lin Ye, Hongli Zhang +5
Cloud-assisted Cognitive Internet of Things has powerful data analytics abilities based on the computing and data storage capabilities of cloud virtual machines, which makes protec…
Learning from Large-scale Noisy Web Data with Ubiquitous Reweighting for Image Classification
Jia Li, Yafei Song, Jianfeng Zhu +5
Many advances of deep learning techniques originate from the efforts of addressing the image classification task on large-scale datasets. However, the construction of such clean da…
Provably Efficient Algorithms for Joint Placement and Allocation of Virtual Network Functions
Yu Sang, Bo Ji, Gagan R. Gupta +2
Network Function Virtualization (NFV) has the potential to significantly reduce the capital and operating expenses, shorten product release cycle, and improve service agility. In t…
Large-scale single-photon imaging
Liheng Bian, Haoze Song, Lintao Peng +7
Benefiting from its single-photon sensitivity, single-photon avalanche diode (SPAD) array has been widely applied in various fields such as fluorescence lifetime imaging and quantu…
Multi-Stage Transmission Line Flow Control Using Centralized and Decentralized Reinforcement Learning Agents
Xiumin Shang, Jinping Yang, Bingquan Zhu +5
Planning future operational scenarios of bulk power systems that meet security and economic constraints typically requires intensive labor efforts in performing massive simulations…
The role of hydrophobic interactions in folding of -sheets
Jiacheng Li, Xiaoliang Ma, Hongchi Zhang +8
Exploring the protein-folding problem has been a long-standing challenge in molecular biology. Protein folding is highly dependent on folding of secondary structures as the way to…