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30th Asia and South Pacific Design Automation Conference, ASP-DAC 2025

作者： Wang, Yan Wang, Xingbin Su, Yulan Zhang, Sisi Lin, Zechao Meng, Dan Hou, Rui Key Laboratory of Cyberspace Security Defense Institute of Information Engineering Cas China School of Cyber Security University of Chinese Academy of Sciences China

ISBN: (纸本)9798400706356

Robust variants represent a promising method to enhance model robustness against adversarial attacks through exploring diverse neural network architectures. However, the significant computational demand of training multiple variants often restricts adversarial defense techniques to a narrow range of model architectures, thus failing to fully exploit the robustness benefits of architectural variations. In this paper, we first reveal that function-preserving knowledge transfer can significantly speed up adversarial training of different architecture variants. Then, we propose ROBIN, a framework for accelerating adversarially robust multi-variant training. By utilizing the architectural similarities among variants, ROBIN facilitates efficient weight transformation across models via two tensor-level atomic operations, hastening the convergence of multiple variants. Our experiments indicate that ROBIN can accelerate the adversarial training process of various architecture variants by 2.56 × to 4.27 ×, enabling efficient exploration of robust network architectures. © 2025 institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Network architecture

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InSAR-Based Coseismic Deformation, Fault Slip Distribution, and Coulomb Stress Propagation of the 2023 Herat Earthquake Sequence

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Seismological Research Letters 2025年第3期96卷 1491-1503页

作者： Liang, Hongwei Sun, Guangtong Zhang, Guohong Fan, Xiaoran Chen, Han Wang, Jiaqing Shan, Xinjian Institute of Disaster Prevention Sanhe City China State Key Laboratory of Earthquake Dynamics Institute of Geology China Earthquake Administration Beijing China Beijing Key Laboratory of Urban Spatial Information Engineering Beijing China

From 7 to 15 October 2023, four Mw 6.3 earthquakes occurred in northwestern Afghanistan. These earthquakes occurred on the northeastern edge of the Arabia–Eurasia collision zone, within the fault transition zone formed by the Doruneh and Herat fault systems;this area is primarily influenced by compressional stress from northeastern Iran. We used Interferometric Synthetic Aperture Radar to obtain the coseismic deformation of the earthquake sequence. Coseismic surface deformation in both ascending and descending tracks moved toward the satellite, consistent with the characteristics of a thrust fault rupture. Based on the coseismic deformation field and elastic half-space model, we inverted the fault-slip distribution of the earthquake sequence. The results indicate that the earthquakes occurred on a north-dipping, low-angle (27°) reverse fault. The rupture length of the earthquake sequence was approximately 55 km, with the rupture not reaching the surface. Rupture primarily occurred at depths of 5–15 km along the fault plane, with a maximum slip of ∼2 m;the slip direction primarily reflected the fault’s thrust motion. Using the fault kinematics model, we calculated the Coulomb stress changes on the fault plane for this earthquake sequence. The first two earthquakes caused stress loading on the fault planes of the subsequent two earthquakes, with stress reaching approximately 3 bar, indicating that the first two earthquakes had a stress-triggering effect on the latter two earthquakes. The deformation results show that the eastern segment of the fault bends toward the northeast owing to obstruction by mountains to the east. © Seismological Society of America.

关键词： Earthquake effects

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An Efficient Coherent Integration Method for Highly Maneuvering Target Detection by Exploiting Range-Azimuth Coupling Relationships Between Subsegments

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IEEE Sensors Journal 2025年第9期25卷 15456-15476页

作者： Wan, Jun Jiang, Xinyu Liu, Chengyuan Li, Dong Xie, Xiaoran Sang, Qinglin Chen, Zhanye Chongqing University School of Microelectronics and Communication Engineering Chongqing Key Laboratory of Space Information Network and Intelligent Information Fusion Chongqing400044 China China Academy of Electronics and Information Technology Beijing100041 China State Key Laboratory of Millimeter Waves Institute of Electromagnetic Space Southeast University Nanjing210096 China

Arbitrary-order range migrations (RMs) and Doppler frequency migrations (DFMs) caused by complicated motions of highly maneuvering targets (HMTs) pose challenges for coherent integration (CI) in radar remote sensing and detection applications. Complicated Doppler frequency ambiguity improves the challenges of CI for HMTs. The optimal generalized Radon-Fourier transform (GRFT) suffers from a large computational cost, and nonlinear transform-based methods are affected by severe performance loss. To tackle these difficulties, an efficient segmented CI method for HMT detection via the range-azimuth coupling relationship between subsegments is proposed. First, inspired by the advantage of subaperture processing, a segmentation operation is introduced to remove intrasegment RMs and DFMs. Second, a high-order compensation function is presented to remove the high-order intersegment RMs and DFMs. Third, by exploiting the range-azimuth coupling relationship between subsegments, a residual migration compensation function is used to correct the residual intersegment RM. Thus, a well result of HMT's CI is achieved. The proposed method handles arbitrary-order RMs and DFMs, complex Doppler ambiguity, and ambiguous speed sidelobes (BSSLs) in low signal-to-noise ratio (SNR) circumstances and multitarget cases due to its linear transform property. In comparison to the optimal GRFT, the proposed approach substantially lowers computational cost while showing similar performance. Then, the presented approach can be implemented by parallel processing. It is advantageous to enhance real-time processing efficiency. Several real radar data are analyzed to confirm the effectiveness of the developed method. © 2001-2012 IEEE.

关键词： Signal to noise ratio

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An Efficient and Secure Data Audit Scheme for Cloud-Based EHRs with Recoverable and Batch Auditing

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Computers, Materials & Continua 2025年第4期83卷 1533-1553页

作者： Yuanhang Zhang Xu An Wang Weiwei Jiang Mingyu Zhou Xiaoxuan Xu Hao Liu College of Cryptography Engineering Engineering University of People’s Armed PoliceXi’an710086China Key Laboratory of Network and Information Security Engineering University of People’s Armed PoliceXi’an710086China School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing100876China

Cloud storage,a core component of cloud computing,plays a vital role in the storage and management of *** Health Records(EHRs),which document users’health information,are typically stored on cloud ***,users’sensitive data would then become *** the event of data loss,cloud storage providers might conceal the fact that data has been compromised to protect their reputation and mitigate *** the integrity of data stored in the cloud remains a pressing issue that urgently needs to be *** this paper,we propose a data auditing scheme for cloud-based EHRs that incorporates recoverability and batch auditing,alongside a thorough security and performance *** scheme builds upon the indistinguishability-based privacy-preserving auditing approach proposed by Zhou et *** identify that this scheme is insecure and vulnerable to forgery attacks on data storage *** address these vulnerabilities,we enhanced the auditing process using masking techniques and designed new algorithms to strengthen *** also provide formal proof of the security of the signature algorithm and the auditing ***,our results show that our scheme effectively protects user privacy and is resilient against malicious *** results indicate that our scheme is not only secure and efficient but also supports batch auditing of cloud ***,when auditing 10,000 users,batch auditing reduces computational overhead by 101 s compared to normal auditing.

关键词： security cloud computing cloud storage recoverable batch auditing

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Spatial-transformation-based wave manipulations in electromagnetics and acoustics:From theory to applications

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Science China(Physics,Mechanics & Astronomy) 2025年第5期68卷 3-15页

作者： Zheng Zhang Qian Zhu Chao Song Weixiang Jiang State Key Laboratory of Millimeter Waves School of Information Science and EngineeringSoutheast UniversityNanjing 210096China Purple Mountain Laboratories Nanjing 211111China

Transformation optics(TO)or transformation acoustics(TA)theory provides an elegant framework for designing intricate wavematerial interaction *** TO or TA with emerging metamaterial technology,the propagating waves inside metamaterials can be guided at will by mapping a preset spatial pattern onto a specific constituent parameter distribution,thus achieving desired *** this review,we mainly focus on recent progress in TO and TA,in terms of basic theory and representative ***,we introduce the fundamental principles of TO and ***,we present some related spatial-transformation-based applications in electromagnetics,such as cloaks,beam manipulation devices and applications in nonlinear responses,and some typical applications in acoustics,namely underwater ultrasound invisibility,sound imaging lenses and parity-time ***,we discuss transformation-based devices for acoustic-electromagneticjoint ***,we summarize current spatial-transformation-based wave modulations and outline some future opportunities in this research field.

关键词： transformation acoustics transformation electromagnetics metamaterial wave manipulation

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Efficient Multi-keyword Searchable and Verifiable Data Sharing for Cloud-Edge Collaboration Intelligent Transportation Systems

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IEEE Internet of Things Journal 2025年第11期12卷 15869-15882页

作者： Liu, Peng He, Qian Chen, Yiting Jiang, Shan Guilin University of Electronic Technology Department of Guangxi Key Laboratory of Cryptograph and Information Security Guilin541004 China Guilin University of Electronic Technology Guangxi Key Laboratory of Cryptograph and Information Security Guilin541004 China The Hong Kong Polytechnic University Department of Computing Hong Kong

Intelligent transportation systems (ITS) are essential for the development of future smart cities. They can improve traffic management, mitigate urban congestion, and provide extensive social services by disseminating traffic data collected from *** facilitate the exchange of sensory data with other vehicles and alleviate the local storage load, sensory data from vehicles is frequently uploaded to cloud or edge ***, current ITS data sharing frameworks exhibit certain security vulnerabilities. In particular, they are unable to support secure multi-keyword searches or ensure verifiable retrieval of encrypted information. Moreover, some of the schemes cannot ensure the integrity of the retrieved data. Therefore, we propose an efficient multi-keyword searchable and verifiable data sharing(EMKV-ABSE) for cloud-edge collaboration ITS. EMKV-ABSE integrates a multi-keyword attribute-based searchable encryption scheme and a tamper-proof consortium blockchain. In EMKV-ABSE, we store the keyword indexes and ciphertext hashes of the shared data on the blockchain, which can ensure the integrity and authenticity of the data. Meanwhile, to avoid security and trust issues associated with central search cloud servers, smart contracts are utilized to perform multi-keyword searches and verify retrieval results. Furthermore, the EMKV-ABSE scheme outsources the complex computational tasks in encryption and decryption to edge servers, which realizes lightweight computation for resource-constrained *** security analysis proves that EMKV-ABSE satisfies the indistinguishability under the chosen plaintext attack (IND-CPA) and the chosen keyword attack (IND-CKA) in the standard *** evaluation shows the efficiency and practicability of our scheme. © 2014 IEEE.

关键词： Data integrity

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Improved Algebraic Attacks on Round-Reduced LowMC with Single-Data Complexity 31st

Improved Algebraic Attacks on Round-Reduced LowMC with Sin...

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31st International Conference on Selected Areas in Cryptography, SAC 2024

作者： Ren, Xingwei Li, Yongqiang Wang, Mingsheng State Key Laboratory of Cyberspace Security Defense Institute of Information Engineering Chinese Academy of Sciences Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783031828409

Recently, Picnic3 has introduced several alternative LowMC instances, which prompts the cryptanalysis competition for LowMC. In this paper, we provide new solutions to the competition with full S-box layers under single-data complexity. First, we present a new guess-and-determine attack framework that achieves the best trade-off in complexity, while effectively enhancing two algorithms applicable to 2-round LowMC cryptanalysis. Next, we present a new meet-in-the-middle attack framework for 2-/3-round LowMC, which can gradually reduce the number of variables and narrow down the range of candidate keys in stages. As a result, our 3-stage MITM attacks have both lower time complexity and memory complexity than the best previous 2-round attacks proposed by Banik et al. at ASIACRYPT 2021, with memory reduced drastically by a factor of 229.7∼270.4. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Algebraic attack Low memory LowMC MITM Picnic

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Transferable and Robust Dynamic Adversarial Attack against Object Detection Models

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IEEE Internet of Things Journal 2025年第11期12卷 16171-16180页

作者： Wang, Xinxin Chen, Jing Zhang, Zijun He, Kun Wu, Zongru Du, Ruiying Li, Qiao Liu, Gongshen Wuhan University Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan430072 China Shanghai Jiao Tong University Department of Electronic Information and Electrical Engineering Shanghai201100 China

Object detection models have been widely deployed in physical world applications, and they are vulnerable to adversarial attacks. However, most adversarial attacks are implemented in a white-box setting, and under ideal shooting conditions such as fixed distances and angles, and thus have limited attack success rate (ASR) in practice. In this paper, we present a transferable and robust dynamic adversarial attack where the adversarial patches can be printed on or attached to non-rigid objects such as clothes. We develop a cascade module with a momentum-based technique to optimize adversarial patches against various object detection models, achieving better transferability of the patches in a black-box setting. We also develop a strategy of distance-Adaptive patch generation and employ perspective transformation to enhance the robustness of patches. To evaluate the attack performance, we conduct extensive experiments on seven mainstream object detection models at different distances and angles. The results show that our method can achieve an average ASR of 69.85%, which is 3.27 times that of the baseline method at 3 meters. © 2014 IEEE.

关键词： Object detection Computational modeling Closed box Robustness Adaptation models Trusted computing information security Aerospace engineering Proposals Aerodynamics

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Polar code‑based secure transmission with higher message rate combining channel entropy and computational entropy

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Cybersecurity 2025年第2期8卷 306-322页

作者： Chen An Mengjie Huang Xianhui Lu Lei Bi Weijie Li Key Laboratory of Cyberspace Security Defense Institute of Information EngineeringCASNo.19 Shucun RoadHaidian DistrictBeijing 100085China School of Cyber Security University of Chinese Academy of SciencesNo.19 Yuquan RoadShijingshan DistrictBeijing 100049China

The existing physical layer security schemes,which are based on the key generation model and the wire-tap channel model,achieve security by utilizing channel reciprocity entropy and noise entropy,*** contrast,we propose a novel secure transmission framework that combines noise entropy with reciprocity entropy,achieved by inserting reciprocity entropy into the frozen bits of polar *** that in real-world scenarios,when eavesdroppers employ polynomial-time attacks,the bit error rate(BER)increases due to the introduction of computational *** achieve indistinguishability security,we convert the practical physical layer security metric,BER,into the average min-entropy,a widely accepted concept in *** simulation results demonstrate that the eavesdropper’s BER can be significantly increased without compromising the communication performance of the legitimate *** concrete parameters we selected,when compared to the joint scheme of physical layer key generation and one time pad,the modular semantically-secure scheme based on the wire-tap channel model,and the simple channel entropy combination scheme,our scheme achieves a message rate approximately 1.2 times,3.8 times,and 1.4 times better,*** testing validates the feasibility of our scheme.

关键词： Secure transmission framework Entropy combination Polar codes Physical layer security

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FPGA Real-Time Deployment of Low-Complexity Volterra Equalizer Based on Pruning and Non-Uniform Quantization

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Journal of Lightwave Technology 2025年第9期43卷 4183-4192页

作者： Sun, Xinda Wang, Kaihui Zhu, Zonghui Zhang, Long Gou, Yumeng Meng, Yuanxiao Chen, Yun Yu, Jianjun Fudan University Department of Communication Science and Engineering State Key Laboratory of ASIC and System Key Laboratory for Information Science of Electromagnetic Waves School of Information Science and Technology Shanghai 200433 China Fudan University Shanghai200433 China

Electronic nonlinear equalization technology is a promising signal impairments compensation technique with great development potential and wide application scenarios. However, its high complexity makes it challenging to implement in field-programmable gate array (FPGA). We propose a low-complexity real-time nonlinear equalization scheme based on FPGA, which can provide similar performance as traditional schemes but only occupies very low digital signal processing (DSP) resources. With the help of this scheme, by using pruning and non-uniform quantization, the computational complexity of a Volterra equalizer with 15 linear taps and 25 nonlinear taps is comparable to that of a Volterra equalizer with 8 linear taps and 4 nonlinear taps. By non-uniformly quantizing the taps of the equalizer, the quantization accuracy can be saved compared to uniform quantization, and after the taps are quantized, complex multiplication can be replaced by simple shift operations, simplifying the complexity of multiplication operations. The scheme of weight pruning and non-uniform quantization significantly reduces the required hardware resources and power consumption. We verify the proposed scheme in a decision-directed Volterra (DD-Volterra) equalizer, The equalizer was successfully deployed in a 230.4 MHz xcvu9pflgb2104-2-I Xilinx FPGA and achieved real-time IM/DD transmission of 29.4912 Gbit/s PAM4 signals over 25 km standard single-mode fiber (SSMF), meeting the 3.8 × 10-3 hard-decision forward error correction (HD-FEC) standard. The results show that the proposed low-complexity Volterra equalizer scheme can reduce DSP resources by up to 75.3% and power consumption by 26.2%. © 1983-2012 IEEE.

关键词： Forward error correction

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