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10th international workshop on Big Data Management and Service, BDMS 2024, 9th international workshop on Big Data Quality Management, BDQM 2024, DASFAA 2024 workshop on Emerging Results in Data Science and engineering, ERDSE 2024 and 8th international workshop on Graph Data Management and Analysis, GDMA 2024 held in conjunction with 29th international conference on Database systems for Advanced Applications, DASFAA 2024

10th International Workshop on Big Data Management and Servi...

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10th international workshop on Big Data Management and Service, BDMS 2024, 9th international workshop on Big Data Quality Management, BDQM 2024, DASFAA 2024 workshop on Emerging Results in Data Science and engineering, ERDSE 2024 and 8th international workshop on Graph Data Management and Analysis, GDMA 2024 held in conjunction with 29th international conference on Database systems for Advanced Applications, DASFAA 2024

ISBN: (纸本)9789819609130

the proceedings contain 26 papers. the special focus in this conference is on Big Data Management and Service. the topics include: FAIth: A Fast, Accurate, and Lightweight Database-Agnostic Learned Cost Model;fast Approximate Temporal Butterfly Counting on Bipartite Graphs via Edge Sampling;Financial-ICS: Identifying Peer Firms via LongBERT from 10K Reports;establishing a Decentralized Diamond Quality Management System: Advancing Towards Global Standardization;co-estimation of Data Types and their Positional Distribution;Enhancing Load Forecasting with VAE-GAN-based Data Cleaning for Electric Vehicle Charging Loads;audio-Guided Visual Knowledge Representation;boundary Point Detection Combining Gravity and Outlier Detection Methods;A Meta-learning Approach for Category-Aware Sequential Recommendation on POIs;automatic Post-editing of Speech Recognition System Output Using Large Language Models;comparative Analysis with Multiple Large-Scale Language Models for Automatic Generation of Funny Dialogues;effectiveness of the Programmed Visual Contents Comparison Method for Two Phase Collaborative Learning in computer Programming Education: A Case Study;generating Achievement Relationship Graph Between Actions for Alternative Solution Recommendation;generating News Headline Containing Specific Person Name;Investigating Evidence in Sentence Similarity Using MASK in BERT;acceleration of Synopsis Construction for Bounded Approximate Query Processing;Query Expansion in Food Review Search with Synonymous Phrase Generation by LLM;Question Answer Summary Generation from Unstructured Texts by Using LLMs;Real Estate Information Exploration in VR with LoD Control by Physical Distance;voices of Asynchronous Learning Students: Revealing Learning Characteristics through Vocabulary Analysis of Notes Tagged in Videos;review Search Interface based on Search Result Summarization Using Large Language Model;yes-No Flowchart Generation for Interactive Exploration of Personalized Health Improve

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19th international workshop on Data Privacy Management, DPM 2024, 8th international workshop on Cryptocurrencies and Blockchain Technology, CBT 2024 and 10th workshop on the Security of Industrial Control systems and of Cyber-Physical systems, CyberICPS 2024 which were held in conjunction with the 29th European Symposium on Research in computer Security, ESORICS 2024

19th International Workshop on Data Privacy Management, DPM ...

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19th international workshop on Data Privacy Management, DPM 2024, 8th international workshop on Cryptocurrencies and Blockchain Technology, CBT 2024 and 10th workshop on the Security of Industrial Control systems and of Cyber-Physical systems, CyberICPS 2024 which were held in conjunction with the 29th European Symposium on Research in computer Security, ESORICS 2024

ISBN: (纸本)9783031823480

the proceedings contain 33 papers. the special focus in this conference is on Data Privacy Management. the topics include: reteLLMe: Design Rules for Using Large Language Models to Protect the Privacy of Individuals in their Textual Contributions;plausible Deniability of Redacted Text;exploring Distribution Learning of Synthetic Data Generators for Manifolds;HEDAS: Secure and Efficient Distributed OLAP Using Fully Homomorphic Encryption;card-based Cryptographic Protocols for three-Input Functions with a Standard Deck of Cards Using Private Operations;grid-based Decompositions for Spatial Data Under Local Differential Privacy;balancing Privacy and Utility in Multivariate Time-Series Classification;dynamic k-Anonymity for Electronic Health Records: A Topological Framework;Using Static Code Analysis for GDPR Compliance Checks;privacy-Preserving Tabular Data Generation: Systematic Literature Review;A DPIA Repository for Interdisciplinary Data Protection Research;secrecy and Sensitivity: Privacy-Performance Trade-Offs in Encrypted Traffic Classification;route Discovery in Private Payment Channel Networks;A Comparative Study of Rust Smart Contract SDKs for Application-Specific Blockchains;offchain Runtime Verification (for the Tezos Blockchain);quantifying Liveness and Safety of Avalanche’s Snowball;We Will DAG You;assessing the Impact of Sanctions in the Crypto Ecosystem: Effective Measures or Ineffective Deterrents?;Practical Implementation of Pairing-based zkSNARK in Bitcoin Script;Homomorphic Encryption based ECDSA Generation Over Five Party Protocol;benchmarking Post-quantum Cryptography in Ethereum-based Blockchains;exploring Anomaly Detection for Marine Radar systems;hunting Vulnerabilities in the Maritime Domain: A Domain Wide Cybersecurity Vulnerability Analysis;threat Modeling in Satellite Communications for Maritime Operations;cybersecurity Challenges in Industrial Control systems: An Interview Study with Asset Owners in Norway;usage of Cybersecurity Standards

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19th International Workshop on Data Privacy Management, DPM ...

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ISBN: (纸本)9783031823619

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Homomorphic Encryption based ECDSA Generation Over Five Party Protocol 19th

Homomorphic Encryption Based ECDSA Generation Over Five Part...

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作者： Aggarwal, Akshit Swain, Srinibas Department of Computer Science and Engineering Indian Institute of Information Technology Guwahati India School of Computer and Mathematical Sciences University of Adelaide Adelaide Australia

ISBN: (纸本)9783031823480

Secure computation of multiparty protocol (MPP) is being widely used to address privacy issues in various technologies, such as cryptocurrencies, blockchain, and many more. the security of MPP is computed in various steps, mainly via secret sharing of keys, encryption/decryption of messages, and signature generation. However, literature suggests the secure computation of multiparty is arduous in the presence of adversarial nature of parties. In this paper, we propose a notion for achieving ECDSA in a multiparty protocol using an Authentication server At. We demonstrate this using four steps: 1. proposal of multiparty (five) protocol (5PP) in which there are parties with adversarial natures. 2. setup of 5PP with At that ensures the mutual identification of parties. 3. Encryption of messages in the proposed 5PP. 4. ECDSA signature generation between the parties in the aforementioned setup. We ensure security in all the steps mainly by using modified Paillier cryptosystem and homomorphic encryption. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Authentication Protocol

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Grid-based Decompositions for Spatial Data Under Local Differential Privacy 19th

Grid-Based Decompositions for Spatial Data Under Local Diff...

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作者： Balioglu, Berkay Kemal Khodaie, Alireza Taweel, Ameer Gursoy, M.Emre Department of Computer Engineering Koç University Istanbul Turkey

ISBN: (纸本)9783031823480

Local differential privacy (LDP) has recently emerged as a popular privacy standard. With the growing popularity of LDP, recent works have applied LDP to spatial data, and grid-based decompositions have been a common building block in DP and LDP. In this paper, we study three grid-based decomposition methods for spatial data under LDP: Uniform Grid (UG), PrivAG, and AAG. UG is a static approach that consists of equal-sized cells. To enable data-dependent decomposition, PrivAG was proposed by Yang et al. (2022). To advance the state-of-the-art in adaptive grids, this paper proposes the Advanced Adaptive Grid (AAG) method. For each grid cell, following the intuition that the cell’s intra-cell density distribution will be affected by its neighbors, AAG performs uneven cell divisions depending on the neighboring cells’ densities. We experimentally compare UG, PrivAG, and AAG using three real-world location datasets, varying privacy budgets, and query sizes. Results show that AAG provides higher utility than PrivAG, demonstrating the superiority of our proposed approach. Furthermore, when the grid size is chosen optimally in UG, AAG still beats UG for small queries, but UG beats AAG for large (coarse-grained) queries. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Differential privacy

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On Intrinsic Cause and Defense of Adversarial Examples in Deep Neural Networks 19th

On Intrinsic Cause and Defense of Adversarial Examples in...

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作者： Tasaki, Hajime Chao, Jinhui Department of Information and System Engineering Chuo University Bunkyo Tokyo1-13-27 Kasuga Japan

ISBN: (纸本)9783031823619

the existence of so-called adversarial examples has become a serious threat to Deep Neural Networks (DNN) and their applications, especially security-sensitive ones. Explanations and defenses mainly focused on inside of the DNN, e.g. its generalization errors and training defects, have been proposed without much success. Recently, we have shown that the extrinsic cause of adversarial examples is due to embedding geometry of the training data manifold, and adversarial examples mainly exist in the orthogonal complementary spaces of the tangent spaces on the data manifold. In this paper, we prove the intrinsic cause of the adversarial examples, i.e. the existence of non-zero manifold-orthogonal components of every weight almost everywhere, as the counterpart of the extrinsic cause. Investigations showed that weights of the DNN always have nonzero and large manifold-orthogonal components at almost every data point, which explains why small adversarial perturbations can lead to misclassifications in well-trained DNN. then, based on these mechanisms, we propose a new defense against adversarial examples by extracting the manifold structure of the training data and removing the components orthogonal to the tangent spaces of the manifolds from the input data, which successfully prevents misclassification of DNN for major adversarial example attacks. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Generative adversarial networks

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5th ieee/ACIS international conference on computer and Information Science and 1st ieee/ACIS international workshop on Component-based Software engineering,Software Architecture and Reuse - Title

5th IEEE/ACIS International Conference on Computer and Infor...

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international conference on computer and Information Science (ACIS)

the following topics are dealt with: parallel and distributed computing; software metrics and project management; communication systems and networks; data mining; data warehousing; information management systems; Internet; mobile computing; wireless computing; software engineering; information engineering; management information systems; image processing and pattern recognition; computer architecture and software testing; artificial intelligence; intelligent agent technology; Web engineering

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Hydrostatic Strength and Resonant Frequency of Large and thin LPCVD SiN Diaphragm with Added Parylene 38

Hydrostatic Strength and Resonant Frequency of Large and thi...

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38th ieee international conference on Micro Electro Mechanical systems, MEMS 2025

作者： Gao, Hongxiang Wang, Junyi Wang, Kunfeng Sengupta, Anik Kim, Eun Sok University of Southern California Department of Electrical and Computer Engineering United States

ISBN: (纸本)9798331508890

this paper describes the impact of Parylene layer on the hydrostatic strength and resonant frequency of large and thin bulk-micromachined diaphragm of 500 nm thick Low Pressure Chemical Vapor Deposition (LPCVD) low-stress silicon nitride (SiN) with 4.8 x 4.8 - 10 x 10 mm2 in size, as 0.5 - 20 μm thick Parylene layers are added to the SiN diaphragm. the experimental results show that the hydrostatic strength of the SiN diaphragm improves by a factor of 10 with only 5 μm thick Parylene layer, and increases linearly as Parylene layer thickness is increased, while the resonant frequency of the diaphragm is mostly not affected by the added Parylene layer. © 2025 ieee.

关键词： Silicon nitride

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the Concept of Genetic Reverse-engineering to Restore the Program's Source Code from a Binary Code: theory and Applying Practice 17

The Concept of Genetic Reverse-Engineering to Restore the Pr...

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17th international conference on COMmunication systems and NETworkS, COMSNETS 2025

作者： Izrailov, Konstantin Kotenko, Igor St. Petersburg Federal Research Center The Russian Academy of Sciences Computer Security Problems Laboratory Saint-Petersburg Russia

ISBN: (纸本)9798331531195

the work is devoted to solving the problem of restoring the representation of the source code of a program (and in the future, algorithms, architecture, etc.) in the form of a binary code, which will allow searching for vulnerabilities in them more effectively. For this purpose, it is proposed to use reverse-engineering based on genetic algorithms. the concept of genetic reverse-engineering, consisting of a sequence of deevolutions of individual representations of the program, and created necessary model-algorithmic instrumentry, is described. the results of experiments on restoring the source code for a non-trivial mathematical expression by various methods and the obtained operating time are presented: by expert groups - 30, 15 and 3-5 minutes, by smart brute-force - 10 minutes, by a genetic de-evolution prototype (as a special case of full reverse-engineering) - 0.5 minutes. © 2025 ieee.

关键词： Binary codes

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Proceedings - 12th ieee international conference and workshop on the engineering of computer-based System, ECS: Foreword

Proceedings - 12th IEEE International Conference and Worksho...

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Proceedings - 12th ieee international conference and workshops on the engineering of computer-based systems, ECS 2005 2005年 x页

作者： Hinchey, Michael Rozenblit, Jerzy Leaney, John O'Neill, Tim

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ISBN: (纸本)0769523080

No abstract available

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