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Adversarial Attacks and Defenses in Deep Learning Feature Article

Kui Ren, Tianhang Zheng, Zhan Qin, Xue Liu

Engineering 2020, Volume 6, Issue 3,   Pages 346-360 doi: 10.1016/j.eng.2019.12.012

Abstract: Recently, the security vulnerability of
DL algorithms to adversarial samples has been widely recognizedSuccessful implementations
of adversarial attacks in real physical-world scenarios further demonstrate
Hence, adversarial attack and defense techniques have attracted increasing attention from bothIn this paper,
we first introduce the theoretical foundations, algorithms, and applications of adversarialattack techniques.

Keywords: Machine learning     Deep neural network Adversarial example     Adversarial attack     Adversarial defense    

One-Variable Attack on The Industrial Fault Classification System and Its Defense Article

Yue Zhuo, Yuri A.W. Shardt, Zhiqiang Ge

Engineering 2022, Volume 19, Issue 12,   Pages 240-251 doi: 10.1016/j.eng.2021.07.033

Abstract: This paper proposes a black-box attack method with an extreme constraint for a safe-critical industrialUsing the one-variable attack (OVA) method, we explore the vulnerability of industrial variables andBased on the attack method, a corresponding adversarial training defense method is also proposed, whichFor industrial fault classification systems, the attack success rate of our method is close to (on TEP) or even higher than (on SP) the current most effective first-order white-box attack method, which requires

Keywords: Adversarial samples     Black-box attack     Industrial data security     Fault classification system    

Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach with Safety Guarantees

Xiangkun He,Wenhui Huang,Chen Lv,

Engineering doi: 10.1016/j.eng.2023.10.005

Abstract: adversary model is learned online to simulate the worst-case uncertainty by approximating the optimal adversarialIn addition, an adversarial robust actor-critic algorithm is developed to enable the agent to learn robust

Keywords: Autonomous vehicle     Decision-making     Reinforcement learning     Adversarial attack     Safety guarantee    

The damage evolution behavior of polypropylene fiber reinforced concrete subjected to sulfate attack

Ninghui LIANG; Jinwang MAO; Ru YAN; Xinrong LIU; Xiaohan ZHOU

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 3,   Pages 316-328 doi: 10.1007/s11709-022-0810-8

Abstract: the damage evolution behavior of polypropylene fiber reinforced concrete (PFRC) subjected to sulfate attackThe effect of sulfate attack relative to time and fiber hybridization were analyzed and the compressionIn the initial stage of sulfate attack, the concrete micropores and microcracks were compacted graduallyWith increasing sulfate attack time, AE activity decreased.After 150 d of sulfate attack, the cumulative AE ringing counts of plain concrete went down by about

Keywords: polypropylene fiber reinforced concrete     sulfate attack     damage evolution behavior     acoustic emission    

Analysis of A Block Cipher Based on Chaos

Jin Chenhui

Strategic Study of CAE 2001, Volume 3, Issue 6,   Pages 75-80

Abstract: cipher proposed in “Design of Block Cipher substitution network on chaos” can be broken by attackwith known plaintext and attack with ciphertext only, and the key of this cipher can be found by thedivide-and-conquer attack with the encipher transformation.

Keywords: chaos sequence     block cipher     transposition cipher     attack with known plaintext     attack with ciphertext only     divide-and-conquer attack    

Evaluating effect of chloride attack and concrete cover on the probability of corrosion

Sanjeev Kumar VERMA, Sudhir Singh BHADAURIA, Saleem AKHTAR

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 4,   Pages 379-390 doi: 10.1007/s11709-013-0223-9

Abstract: Corrosion of reinforced concrete (RC) structures is one of the significant causes of deterioration of reinforced concrete (RC) structures. Chlorination is a major process governing the initiation and advancement of the injurious corrosion of steel bars. Now, several researches on the chlorination of concrete structures have been ongoing around the world. Present article reviews several recently performed chlorination studies, and from results of a field survey evaluates the effect of chloride content on the probability of corrosion and the influence of concrete compressive strength on the chloride content and penetration, also evaluates the effect of concrete cover over the chloride content of the RC structures at rebar depth and on the probability of corrosion.

Keywords: concrete     chloride     reinforcement     corrosion     deterioration     cover    

Generative adversarial network based novelty detection usingminimized reconstruction error Article

Huan-gang WANG, Xin LI, Tao ZHANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 116-125 doi: 10.1631/FITEE.1700786

Abstract: Generative adversarial network (GAN) is the most exciting machine learning breakthrough in recent yearsGAN is composed of a generator and a discriminator, both trained with the adversarial learning mechanism

Keywords: Generative adversarial network (GAN)     Novelty detection     Tennessee Eastman (TE) process    

Underwater Attack–Defense Confrontation System and Its Future Development

Xie Wei, Yang Meng, Gong Junbin

Strategic Study of CAE 2019, Volume 21, Issue 6,   Pages 71-79 doi: 10.15302/J-SSCAE-2019.06.014

Abstract:

As an important development direction of naval warfare, the underwater attack–defense confrontationsystem integrates underwater warning, scout, detection, attack, defense and a series of other operationspowers, and analyzes the functional composition and typical combat styles of the future underwater attackconfrontation system, and proposes corresponding suggestions for the development of the underwater attack

Keywords: underwater attack and defense     confrontation system     coordinated combat     unmanned system    

On detecting primary user emulation attack using channel impulse response in the cognitive radio network Article

Qiao-mu JIANG, Hui-fang CHEN, Lei XIE, Kuang WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1665-1676 doi: 10.1631/FITEE.1700203

Abstract: However, a serious denial-of-service (DoS) attack, named the ‘primary user emulation attack (PUEA)’,

Keywords: Cognitive radio network     Primary user emulation attack     Subspace-based blind channel estimation     Channel    

Cantonese porcelain classification and image synthesis by ensemble learning and generative adversarial Special Feature on Intelligent Design

Steven Szu-Chi CHEN, Hui CUI, Ming-han DU, Tie-ming FU, Xiao-hong SUN, Yi JI, Henry DUH

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 12,   Pages 1632-1643 doi: 10.1631/FITEE.1900399

Abstract: The synthesis module is developed based on a conditional generative adversarial network, which enables

Keywords: Cantonese porcelain     Classification     Generative adversarial network     Creative arts    

A time−space porosity computational model for concrete under sulfate attack

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0985-7

Abstract: The deterioration of the microscopic pore structure of concrete under external sulfate attack (ESA) is

Keywords: expansion deformation     porosity     internal expansion stress     external sulfate attack     mechanical–chemical    

Resilient distributed economic dispatch of a cyber-power system under DoS attack Research Articles

Feisheng Yang, Xuhui Liang, Xiaohong Guan,yangfeisheng@nwpu.edu.cn,liangxuhui@mail.nwpu.edu.cn,xhguan@sei.xjtu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000201

Abstract: economy of a class of cyber-power systems when the communication network is subject to malicious DoS attack

Keywords: Economic dispatch     Denial of service (DoS) attack     Resilient event-triggered scheme     Distributed optimization    

Correlation power attack on amessage authentication code based on SM3 Research Articles

Ye YUAN, Kai-ge QU, Li-ji WU, Jia-wei MA, Xiang-min ZHANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7,   Pages 930-945 doi: 10.1631/FITEE.1800312

Abstract: In this paper, a skillful bit-wise chosen-plaintext correlation power attack procedure is proposed forReal attack experiments on a field programmable gate array (FPGA) board have been performed.

Keywords: HMAC-SM3     Side channel analysis     Correlation power attack     Bit-wise chosen-plaintext    

Topology-independent end-to-end learning model for improving the voltage profile in microgrids-integrated power distribution networks

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 211-227 doi: 10.1007/s11708-022-0847-3

Abstract: proposed model consists of four modules, Pre-training Network and modified interior point methods with adversarialnetworks (Modified IPMAN) as core modules, and discriminator generative adversarial network (Dis-GAN

Keywords: end-to-end learning     microgrids     voltage profile improvement     generative adversarial network    

Calculation of the Behavior Utility of a Network System: Conception and Principle Article

Changzhen Hu

Engineering 2018, Volume 4, Issue 1,   Pages 78-84 doi: 10.1016/j.eng.2018.02.010

Abstract: We also provide a calculation framework for assessment of the network’s attack-defense confrontation

Keywords: Network metric evaluation     Differential manifold     Network behavior utility     Network attack-defense confrontation    

Title Author Date Type Operation

Adversarial Attacks and Defenses in Deep Learning

Kui Ren, Tianhang Zheng, Zhan Qin, Xue Liu

Journal Article

One-Variable Attack on The Industrial Fault Classification System and Its Defense

Yue Zhuo, Yuri A.W. Shardt, Zhiqiang Ge

Journal Article

Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach with Safety Guarantees

Xiangkun He,Wenhui Huang,Chen Lv,

Journal Article

The damage evolution behavior of polypropylene fiber reinforced concrete subjected to sulfate attack

Ninghui LIANG; Jinwang MAO; Ru YAN; Xinrong LIU; Xiaohan ZHOU

Journal Article

Analysis of A Block Cipher Based on Chaos

Jin Chenhui

Journal Article

Evaluating effect of chloride attack and concrete cover on the probability of corrosion

Sanjeev Kumar VERMA, Sudhir Singh BHADAURIA, Saleem AKHTAR

Journal Article

Generative adversarial network based novelty detection usingminimized reconstruction error

Huan-gang WANG, Xin LI, Tao ZHANG

Journal Article

Underwater Attack–Defense Confrontation System and Its Future Development

Xie Wei, Yang Meng, Gong Junbin

Journal Article

On detecting primary user emulation attack using channel impulse response in the cognitive radio network

Qiao-mu JIANG, Hui-fang CHEN, Lei XIE, Kuang WANG

Journal Article

Cantonese porcelain classification and image synthesis by ensemble learning and generative adversarial

Steven Szu-Chi CHEN, Hui CUI, Ming-han DU, Tie-ming FU, Xiao-hong SUN, Yi JI, Henry DUH

Journal Article

A time−space porosity computational model for concrete under sulfate attack

Journal Article

Resilient distributed economic dispatch of a cyber-power system under DoS attack

Feisheng Yang, Xuhui Liang, Xiaohong Guan,yangfeisheng@nwpu.edu.cn,liangxuhui@mail.nwpu.edu.cn,xhguan@sei.xjtu.edu.cn

Journal Article

Correlation power attack on amessage authentication code based on SM3

Ye YUAN, Kai-ge QU, Li-ji WU, Jia-wei MA, Xiang-min ZHANG

Journal Article

Topology-independent end-to-end learning model for improving the voltage profile in microgrids-integrated power distribution networks

Journal Article

Calculation of the Behavior Utility of a Network System: Conception and Principle

Changzhen Hu

Journal Article