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41st International Conference on Machine Learning, ICML 2024

作者： Li, Boqi Liu, Weiwei School of Computer Science National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University Wuhan China

The rising threat of backdoor poisoning attacks (BPAs) on Deep Neural networks (DNNs) has become a significant concern in recent years. In such attacks, the adversaries strategically target a specific class and generate a poisoned training set. The neural network (NN), well-trained on the poisoned training set, is able to predict any input with the trigger pattern as the targeted label, while maintaining accurate outputs for clean inputs. However, why the BPAs work remains less explored. To fill this gap, we employ a dirty-label attack and conduct a detailed analysis of BPAs in a two-layer convolutional neural network. We provide theoretical insights and results on the effectiveness of BPAs. Our experimental results on two real-world datasets validate our theoretical findings. Copyright 2024 by the author(s)

关键词： Convolutional neural networks

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Theoretical mean-variance relationship of IP network traffic based on ON/OFF model

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Science in China(Series F) 2009年第4期52卷 645-655页

作者： JIN Yi ZHOU Gang JIANG DongChen YUAN Shuai WANG LiLi CAO JianTing State Key Laboratory of Software Development Environment Beihang University Beijing 100191 China School of Computer Science & Engineering Beihang University Beijing 100191 China National Digital Switching System Engineering & Technological Research Center Zhengzhou 450002 China

Mean-variance relationship （MVR）, nowadays agreed in power law form, is an important function. It is currently used by traffic matrix estimation as a basic statistical assumption. Because all the existing papers obtain MVR only through empirical ways, they cannot provide theoretical support to power law MVR or the definition of its power exponent. Furthermore, because of the lack of theoretical model, all traffic matrix estimation methods based on MVR have not been theoretically supported yet. By observing both our laboratory and campus network for more than one year, we find that such an empirical MVR is not sufficient to describe actual network traffic. In this paper, we derive a theoretical MVR from ON/OFF model. Then we prove that current empirical power law MVR is generally reasonable by the fact that it is an approximate form of theoretical MVR under specific precondition, which can theoretically support those traffic matrix estimation algorithms of using MVR. Through verifying our MVR by actual observation and public DECPKT traces, we verify that our theoretical MVR is valid and more capable of describing actual network traffic than power law MVR.

关键词： traffic matrix mean-variance relationship self-similar

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An analysis-oriented ROI based coding approach on surveillance video data 17th

An analysis-oriented ROI based coding approach on surveillan...

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17th Pacific-Rim Conference on Multimedia, PCM 2016

作者： Liao, Liang Hu, Ruimin Xiao, Jing Zhan, Gen Chen, Yu Xiao, Jun State Key Laboratory of Software Engineering Wuhan University Wuhan China Computer School National Engineering Research Center for Multimedia Software Wuhan University Wuhan China Hubei Provincial Key Laboratory of Multimedia and Network Communication Engineering Wuhan University Wuhan China Research Institute of Wuhan University in Shenzhen Shenzhen China

ISBN: (纸本)9783319488950

Driven by the growing amount of surveillance video data, intelligent video analysis has been applied to manipulate the stored videos automatically. As the most important method of video storage, the conventional coding method with high compression ratio severely degrades the video quality, which restrict the performance of intelligent analysis. In this paper, we propose an analysis-oriented region of interest (ROI) based coding approach to relieve this problem. We qualitatively analyze the effect of video compression on the performance of video analysis, such as feature similarity and object detection. Based on the analysis, we generate the ROI by the prior knowledge of interest objects rather than considering the characteristics of Human Visual System (HVS). Then, a weight-based rate control scheme is proposed to protect the quality of ROI by assigning more bits to encode it. Experimental results show that the proposed approach can reach 5.52% and 4.39% gains average over HEVC on the performance of feature similarity and object detection respectively under the same bitrate. © Springer International Publishing AG 2016.

关键词： Object detection

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17th Pacific-Rim Conference on Multimedia, PCM 2016

作者： Wu, Tingzhao Hu, Ruimin Wang, Xiaochen Gao, Li Ke, Shanfa State Key Laboratory of Software Engineering Wuhan University Wuhan China National Engineering Research Center for Multimedia Software Computer School of Wuhan University Wuhan China Hubei Provincial Key Laboratory of Multimedia and Network Communication Engineering Wuhan University Wuhan China Research Institute of Wuhan University in Shenzhen Shenzhen China

ISBN: (纸本)9783319488899

Head related transfer function (HRTF) is the main technique of binaural synthesis, which is used to reconstruct spatial sound image, and the HRTF data only can be obtained by measurement. A high resolution HRTF database contains too many HRTFs, the workload of measurement is too huge to be finished. As a solution, in order to calculate new HRTF by measured HRTFs, many researchers concentrate on the interpolation of HRTF. But, before interpolating, HRTFs should be aligned because there is time delay between different HRTFs. Some researchers try to implement aligning operation based on phase, but themethod is not appropriate since the periodicity of phase. Another idea to align HRTFs is by detecting method, however, the time difference is too tiny to detect exactly. None of the methods can provide a good and stable performance. In this paper, we propose a new method to align HRTFs based on correlation. And the experiments show that the proposed aligning method improves the accuracy index SDR 18.5 dB for the most, furthermore, the proposed method could improve the accuracy for all positions. © Springer International Publishing AG 2016.

关键词： Interpolation

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A modeling methodology to facilitate safety-oriented architecture design of industrial avionics software

A modeling methodology to facilitate safety-oriented archite...

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作者： Wu, Ji Yue, Tao Ali, Shaukat Zhang, Huihui State Key Laboratory of Software Development Environment School of Computer Science and Engineering Beihang University Beijing China Certus Software Verification and Validation Center Simula Research Laboratory Lysaker Norway

Summary Ensuring that avionics software meets safety requirements at each development stage is very important to warrant the safe operation of an avionics system. Many safety requirements are imposed by various standards and industrial regulations that must be met by avionics software. One of such standards is DO-178B/C, which provides guidelines (e.g., development process and objectives to satisfy in development activities) for meeting safety requirements. This paper presents a modeling methodology including a UML profile for specifying safety requirements on a component-based architecture model and a set of design guidelines on avionics software. These safety requirements were identified from both standards (mainly DO-178B/C) and current engineering practices in the domain of avionics systems. The methodology automatically enforces these safety requirements. We have applied the methodology on an industrial autopilot system, and several previously uncaught faults were revealed. Copyright © 2014 John Wiley & Sons, Ltd.

关键词： Accident prevention

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Criminal investigation oriented saliency detection for surveillance videos 17th

Criminal investigation oriented saliency detection for surve...

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17th Pacific-Rim Conference on Multimedia, PCM 2016

作者： Chen, Yu Hu, Ruimin Xiao, Jing Liao, Liang Xiao, Jun Zhan, Gen State Key Laboratory of Software Engineering Wuhan University Wuhan China National Engineering Research Center for Multimedia Software Computer School of Wuhan University Wuhan China Hubei Provincial Key Laboratory of Multimedia and Network Communication Engineering Wuhan University Wuhan China Research Institute of Wuhan University in Shenzhen Shenzhen China

ISBN: (纸本)9783319488899

Detecting the salient regions, namely locating the key regions that contain rich clues, is of great significance for better mining and analyzing the crucial information in surveillance videos. Yet, to date, the existed saliency detection methods are mainly designed to fit human perception. Nevertheless, what we value most during in surveillance videos, i.e. criminal investigation attentive objects (CIAOs) such as pedestrians, human faces, vehicles and license plates, is often different from those sensitive to human vision in general situations. In this paper, we proposed criminal investigation oriented saliency detection method for surveillance videos. A criminal investigation attentive model (CIAM) is constructed to score the occurrence probabilities of CIAOs in spatial domain and novelly utilize score to represent saliency, thus making CIAO regions more salient than non-CIAO regions. In addition, we refine the spatial domain saliency map with the motion information in temporal domain to obtain the spatiotemporal saliency map that has high distinctiveness for regions of moving CIAOs, static CIAOs, moving non-CIAOs and static non-CIAOs. Experimental results on surveillance video datasets demonstrate that the proposed method outperforms the state-of-art saliency detection methods. © Springer International Publishing AG 2016.

关键词： Security systems

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A practical covert channel identification approach in source code based on directed information flow graph

A practical covert channel identification approach in source...

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International Conference on Secure software Integration and Reliability Improvement

作者： Wu, JingZheng Ding, Liping Wang, Yongji Han, Wei National Engineering Research Center for Fundamental Software Institute of Software China State Key Laboratory of Computer Science Institute of Software China Graduate School Chinese Academy of Science Beijing China

ISBN: (纸本)9780769544533

Covert channel analysis is an important requirement when building secure information systems and identification is the most difficult task. Although some approaches were presented they are either experimental or constrained to some particular systems. This paper presents a practical approach based on directed information flow graph taking advantage of the source code analysis. The approach divides the whole system into serval independent modules and analyzes them respectively. All the shared variables and their caller functions are found out from the source codes and modeled into directed information flow graphs. When the information flow branches are visible and modifiable to the external interface a potential covert channel exists. Contributions made in this paper are as follows a modularized analysis scheme is proved and reduces the workloads of identifying a directed information flow graph algorithm is presented and used to model the covert channels more than 30 covert channels have been identified in Linux kernel source code using this scheme and a typical channel scenario is constructed. © 2011 IEEE.

关键词： Codes (symbols)

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Soft Tissue Deformation Model Based on Marquardt Algorithm and Enrichment Function

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computer Modeling in engineering & Sciences 2020年第9期124卷 1131-1147页

作者： Xiaorui Zhang Xuefeng Yu Wei Sun Aiguo Song Jiangsu Engineering Center of Network Monitoring Engineering Research Center of Digital ForensicsMinistry of EducationSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing210044China State Key Laboratory of Bioelectronics Jiangsu Key Lab of Remote Measurement and ControlSchool of Instrument Science and EngineeringSoutheast UniversityNanjing210096China

In order to solve the problem of high computing cost and low simulation accuracy caused by discontinuity of incision in traditional meshless model,this paper proposes a soft tissue deformation model based on the Marquardt algorithm and enrichment *** model is based on the element-free Galerkin method,in which Kelvin viscoelastic model and adjustment function are *** algorithm is applied to fit the relation between force and displacement caused by surface deformation,and the enrichment function is applied to deal with the discontinuity in the meshless *** verify the validity of the model,the Sensable Phantom Omni force tactile interactive device is used to simulate the deformations of stomach and *** results show that the proposed model improves the real-time performance and accuracy of soft tissue deformation simulation,which provides a new perspective for the application of the meshless method in virtual surgery.

关键词： Virtual surgery meshless model Marquardt algorithm enrichment function soft tissue simulation

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On the parity-check matrix of generalized concatenated code

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Science China(Information Sciences) 2020年第4期63卷 233-235页

作者： Sha SHI Yang LIU Junzhi YAN Jingliang GAO Yunjiang WANG Engineering Research Center of Molecular and Neuro Imaging Ministry of Education School of Life Science and Technology Xidian University National Computer Network Emergency Response Technical Team/Coordination Center of China China Mobile Research Institute State Key Laboratory of Integrated Services Networks Xidian University

Dear editor,Single-level concatenation using a nonbinary code as outer code and a binary code as inner code is widely used in communication and digital data storage systems to achieve high reliability with reduced decoding complexity [1]. Moreover, concatenation can be multilevel, where multiple outer codes are concatenated with multiple inner codes

关键词： On the parity-check matrix of generalized concatenated code

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ULM： A user-level model for emotion prediction in social networks

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The Journal of China Universities of Posts and Telecommunications 2016年第3期23卷 63-69,88页

作者： Wang Qiyao Li Zhengmin Jin Yuehui Cheng Shiduan Yang Tan State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China National Computer Network Emergency Response Technical Team/Coordination Center of China Beijing 100012 China School of Software Engineering Beijing University of Posts and Telecommunications Beijing 100876 China

Users express their emotions in online social networks （OSNs）. Studying emotions is important for understanding user behaviors. Existing methods in emotion prediction mainly use personal emotion and friend emotion to predict target emotion. In this study, public sentiment is introduced to denote the sentiment of the majority in the network. Public conformity is calculated to measure the degree of a user conforming to the public sentiment. According to the public conformity, users are categorized into three classes： Approvers, independents, and starters. A user-level model for emotion prediction is proposed to predict target emotions of different classes of users, taking into account of the public sentiment, individual sentiment, friend sentiment and pseudo-friend sentiment. Relations between the public conformity and the structure of the network are studied. Experiments conducted on Sina Weibo show that the proposed model could achieve performance improvements to some existing methods in most cases.

关键词： public sentiment conformity user-level model emotion prediction social networks

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