arXiv - CS - Emerging Technologies最新文献_第10页

Versatile CMOS Analog LIF Neuron for Memristor-Integrated Neuromorphic Circuits 用于 Memristor 集成神经形态电路的多功能 CMOS 模拟 LIF 神经元

arXiv - CS - Emerging Technologies Pub Date : 2024-06-28 DOI: arxiv-2406.19667

Nikhil Garg, Davide Florini, Patrick Dufour, Eloir Muhr, Mathieu Faye, Marc Bocquet, Damien Querlioz, Yann Beilliard, Dominique Drouin, Fabien Alibart, Jean-Michel Portal

{"title":"Versatile CMOS Analog LIF Neuron for Memristor-Integrated Neuromorphic Circuits","authors":"Nikhil Garg, Davide Florini, Patrick Dufour, Eloir Muhr, Mathieu Faye, Marc Bocquet, Damien Querlioz, Yann Beilliard, Dominique Drouin, Fabien Alibart, Jean-Michel Portal","doi":"arxiv-2406.19667","DOIUrl":"https://doi.org/arxiv-2406.19667","url":null,"abstract":"Heterogeneous systems with analog CMOS circuits integrated with nanoscale\u0000memristive devices enable efficient deployment of neural networks on\u0000neuromorphic hardware. CMOS Neuron with low footprint can emulate slow temporal\u0000dynamics by operating with extremely low current levels. Nevertheless, the\u0000current read from the memristive synapses can be higher by several orders of\u0000magnitude, and performing impedance matching between neurons and synapses is\u0000mandatory. In this paper, we implement an analog leaky integrate and fire (LIF)\u0000neuron with a voltage regulator and current attenuator for interfacing CMOS\u0000neurons with memristive synapses. In addition, the neuron design proposes a\u0000dual leakage that could enable the implementation of local learning rules such\u0000as voltage-dependent synaptic plasticity. We also propose a connection scheme\u0000to implement adaptive LIF neurons based on two-neuron interaction. The proposed\u0000circuits can be used to interface with a variety of synaptic devices and\u0000process signals of diverse temporal dynamics.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Designing Unit Ising Models for Logic Gate Simulation through Integer Linear Programming 通过整数线性规划为逻辑门仿真设计单元等效模型

arXiv - CS - Emerging Technologies Pub Date : 2024-06-26 DOI: arxiv-2406.18130

Shunsuke Tsukiyama, Koji Nakano, Xiaotian Li, Yasuaki Ito, Takumi Kato, Yuya Kawamata

{"title":"Designing Unit Ising Models for Logic Gate Simulation through Integer Linear Programming","authors":"Shunsuke Tsukiyama, Koji Nakano, Xiaotian Li, Yasuaki Ito, Takumi Kato, Yuya Kawamata","doi":"arxiv-2406.18130","DOIUrl":"https://doi.org/arxiv-2406.18130","url":null,"abstract":"An Ising model is defined by a quadratic objective function known as the\u0000Hamiltonian, composed of spin variables that can take values of either $-1$ or\u0000$+1$. The goal is to assign spin values to these variables in a way that\u0000minimizes the value of the Hamiltonian. Ising models are instrumental in\u0000tackling many combinatorial optimization problems, leading to significant\u0000research in developing solvers for them. Notably, D-Wave Systems has pioneered\u0000the creation of quantum annealers, programmable solvers based on quantum\u0000mechanics, for these models. This paper introduces unit Ising models, where all\u0000non-zero coefficients of linear and quadratic terms are either $-1$ or $+1$.\u0000Due to the limited resolution of quantum annealers, unit Ising models are more\u0000suitable for quantum annealers to find optimal solutions. We propose a novel\u0000design methodology for unit Ising models to simulate logic circuits computing\u0000Boolean functions through integer linear programming. By optimizing these Ising\u0000models with quantum annealers, we can compute Boolean functions and their\u0000inverses. With a fixed unit Ising model for a logic circuit, we can potentially\u0000design Application-Specific Unit Quantum Annealers (ASUQAs) for computing the\u0000inverse function, which is analogous to Application-Specific Integrated\u0000Circuits (ASICs) in digital circuitry. For instance, if we apply this technique\u0000to a multiplication circuit, we can design an ASUQA for factorization of two\u0000numbers. Our findings suggest a powerful new method for compromising the RSA\u0000cryptosystem by leveraging ASUQAs in factorization.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"110 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141508408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Impact of Feature Representation on the Accuracy of Photonic Neural Networks 特征表示对光子神经网络准确性的影响

arXiv - CS - Emerging Technologies Pub Date : 2024-06-26 DOI: arxiv-2406.18757

Mauricio Gomes de Queiroz, Paul Jimenez, Raphael Cardoso, Mateus Vidaletti da Costa, Mohab Abdalla, Ian O'Connor, Alberto Bosio, Fabio Pavanello

{"title":"The Impact of Feature Representation on the Accuracy of Photonic Neural Networks","authors":"Mauricio Gomes de Queiroz, Paul Jimenez, Raphael Cardoso, Mateus Vidaletti da Costa, Mohab Abdalla, Ian O'Connor, Alberto Bosio, Fabio Pavanello","doi":"arxiv-2406.18757","DOIUrl":"https://doi.org/arxiv-2406.18757","url":null,"abstract":"Photonic Neural Networks (PNNs) are gaining significant interest in the\u0000research community due to their potential for high parallelization, low\u0000latency, and energy efficiency. PNNs compute using light, which leads to\u0000several differences in implementation when compared to electronics, such as the\u0000need to represent input features in the photonic domain before feeding them\u0000into the network. In this encoding process, it is common to combine multiple\u0000features into a single input to reduce the number of inputs and associated\u0000devices, leading to smaller and more energy-efficient PNNs. Although this\u0000alters the network's handling of input data, its impact on PNNs remains\u0000understudied. This paper addresses this open question, investigating the effect\u0000of commonly used encoding strategies that combine features on the performance\u0000and learning capabilities of PNNs. Here, using the concept of feature\u0000importance, we develop a mathematical framework for analyzing feature\u0000combination. Through this framework, we demonstrate that encoding multiple\u0000features together in a single input determines their relative importance, thus\u0000limiting the network's ability to learn from the data. Given some prior\u0000knowledge of the data, however, this can also be leveraged for higher accuracy.\u0000By selecting an optimal encoding method, we achieve up to a 12.3% improvement\u0000in accuracy of PNNs trained on the Iris dataset compared to other encoding\u0000techniques, surpassing the performance of networks where features are not\u0000combined. These findings highlight the importance of carefully choosing the\u0000encoding to the accuracy and decision-making strategies of PNNs, particularly\u0000in size or power constrained applications.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141529635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Soley: Identification and Automated Detection of Logic Vulnerabilities in Ethereum Smart Contracts Using Large Language Models Soley：使用大型语言模型识别和自动检测以太坊智能合约中的逻辑漏洞

arXiv - CS - Emerging Technologies Pub Date : 2024-06-24 DOI: arxiv-2406.16244

Majd Soud, Waltteri Nuutinen, Grischa Liebel

{"title":"Soley: Identification and Automated Detection of Logic Vulnerabilities in Ethereum Smart Contracts Using Large Language Models","authors":"Majd Soud, Waltteri Nuutinen, Grischa Liebel","doi":"arxiv-2406.16244","DOIUrl":"https://doi.org/arxiv-2406.16244","url":null,"abstract":"Modern blockchain, such as Ethereum, supports the deployment and execution of\u0000so-called smart contracts, autonomous digital programs with significant value\u0000of cryptocurrency. Executing smart contracts requires gas costs paid by users,\u0000which define the limits of the contract's execution. Logic vulnerabilities in\u0000smart contracts can lead to financial losses, and are often the root cause of\u0000high-impact cyberattacks. Our objective is threefold: (i) empirically\u0000investigate logic vulnerabilities in real-world smart contracts extracted from\u0000code changes on GitHub, (ii) introduce Soley, an automated method for detecting\u0000logic vulnerabilities in smart contracts, leveraging Large Language Models\u0000(LLMs), and (iii) examine mitigation strategies employed by smart contract\u0000developers to address these vulnerabilities in real-world scenarios. We\u0000obtained smart contracts and related code changes from GitHub. To address the\u0000first and third objectives, we qualitatively investigated available logic\u0000vulnerabilities using an open coding method. We identified these\u0000vulnerabilities and their mitigation strategies. For the second objective, we\u0000extracted various logic vulnerabilities, applied preprocessing techniques, and\u0000implemented and trained the proposed Soley model. We evaluated Soley along with\u0000the performance of various LLMs and compared the results with the\u0000state-of-the-art baseline on the task of logic vulnerability detection. From\u0000our analysis, we identified nine novel logic vulnerabilities, extending\u0000existing taxonomies with these vulnerabilities. Furthermore, we introduced\u0000several mitigation strategies extracted from observed developer modifications\u0000in real-world scenarios. Our Soley method outperforms existing methods in\u0000automatically identifying logic vulnerabilities. Interestingly, the efficacy of\u0000LLMs in this task was evident without requiring extensive feature engineering.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141508412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Privacy Preserving Machine Learning for Electronic Health Records using Federated Learning and Differential Privacy 使用联合学习和差异隐私保护电子健康记录的隐私保护机器学习

arXiv - CS - Emerging Technologies Pub Date : 2024-06-23 DOI: arxiv-2406.15962

Naif A. Ganadily, Han J. Xia

引用次数: 0

Beyond Diagonal IRS Assisted Ultra Massive THz Systems: A Low Resolution Approach 超越对角线 IRS 辅助超大规模 THz 系统：低分辨率方法

arXiv - CS - Emerging Technologies Pub Date : 2024-06-22 DOI: arxiv-2406.15880

Wali Ullah Khan, Chandan Kumar Sheemar, Zaid Abdullah, Eva Lagunas, Symeon Chatzinotas

引用次数: 0

AgriLLM: Harnessing Transformers for Farmer Queries AgriLLM：利用变压器进行农民查询

arXiv - CS - Emerging Technologies Pub Date : 2024-06-21 DOI: arxiv-2407.04721

Krish Didwania, Pratinav Seth, Aditya Kasliwal, Amit Agarwal

{"title":"AgriLLM: Harnessing Transformers for Farmer Queries","authors":"Krish Didwania, Pratinav Seth, Aditya Kasliwal, Amit Agarwal","doi":"arxiv-2407.04721","DOIUrl":"https://doi.org/arxiv-2407.04721","url":null,"abstract":"Agriculture, vital for global sustenance, necessitates innovative solutions\u0000due to a lack of organized domain experts, particularly in developing countries\u0000where many farmers are impoverished and cannot afford expert consulting.\u0000Initiatives like Farmers Helpline play a crucial role in such countries, yet\u0000challenges such as high operational costs persist. Automating query resolution\u0000can alleviate the burden on traditional call centers, providing farmers with\u0000immediate and contextually relevant information. The integration of Agriculture\u0000and Artificial Intelligence (AI) offers a transformative opportunity to empower\u0000farmers and bridge information gaps. Language models like transformers, the\u0000rising stars of AI, possess remarkable language understanding capabilities,\u0000making them ideal for addressing information gaps in agriculture. This work\u0000explores and demonstrates the transformative potential of Large Language Models\u0000(LLMs) in automating query resolution for agricultural farmers, leveraging\u0000their expertise in deciphering natural language and understanding context.\u0000Using a subset of a vast dataset of real-world farmer queries collected in\u0000India, our study focuses on approximately 4 million queries from the state of\u0000Tamil Nadu, spanning various sectors, seasonal crops, and query types.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141571838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detecting sexually explicit content in the context of the child sexual abuse materials (CSAM): end-to-end classifiers and region-based networks 检测儿童性虐待材料（CSAM）中的露骨性内容：端到端分类器和基于区域的网络

arXiv - CS - Emerging Technologies Pub Date : 2024-06-20 DOI: arxiv-2406.14131

Weronika Gutfeter, Joanna Gajewska, Andrzej Pacut

{"title":"Detecting sexually explicit content in the context of the child sexual abuse materials (CSAM): end-to-end classifiers and region-based networks","authors":"Weronika Gutfeter, Joanna Gajewska, Andrzej Pacut","doi":"arxiv-2406.14131","DOIUrl":"https://doi.org/arxiv-2406.14131","url":null,"abstract":"Child sexual abuse materials (CSAM) pose a significant threat to the safety\u0000and well-being of children worldwide. Detecting and preventing the distribution\u0000of such materials is a critical task for law enforcement agencies and\u0000technology companies. As content moderation is often manual, developing an\u0000automated detection system can help reduce human reviewers' exposure to\u0000potentially harmful images and accelerate the process of counteracting. This\u0000study presents methods for classifying sexually explicit content, which plays a\u0000crucial role in the automated CSAM detection system. Several approaches are\u0000explored to solve the task: an end-to-end classifier, a classifier with person\u0000detection and a private body parts detector. All proposed methods are tested on\u0000the images obtained from the online tool for reporting illicit content. Due to\u0000legal constraints, access to the data is limited, and all algorithms are\u0000executed remotely on the isolated server. The end-to-end classifier yields the\u0000most promising results, with an accuracy of 90.17%, after augmenting the\u0000training set with the additional neutral samples and adult pornography. While\u0000detection-based methods may not achieve higher accuracy rates and cannot serve\u0000as a final classifier on their own, their inclusion in the system can be\u0000beneficial. Human body-oriented approaches generate results that are easier to\u0000interpret, and obtaining more interpretable results is essential when analyzing\u0000models that are trained without direct access to data.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Emerging-properties Mapping Using Spatial Embedding Statistics: EMUSES 利用空间嵌入统计绘制新兴属性地图EMUSES

arXiv - CS - Emerging Technologies Pub Date : 2024-06-20 DOI: arxiv-2406.14309

Chris Foulon, Marcela Ovando-Tellez, Lia Talozzi, Maurizio Corbetta, Anna Matsulevits, Michel Thiebaut de Schotten

{"title":"Emerging-properties Mapping Using Spatial Embedding Statistics: EMUSES","authors":"Chris Foulon, Marcela Ovando-Tellez, Lia Talozzi, Maurizio Corbetta, Anna Matsulevits, Michel Thiebaut de Schotten","doi":"arxiv-2406.14309","DOIUrl":"https://doi.org/arxiv-2406.14309","url":null,"abstract":"Understanding complex phenomena often requires analyzing high-dimensional\u0000data to uncover emergent properties that arise from multifactorial\u0000interactions. Here, we present EMUSES (Emerging-properties Mapping Using\u0000Spatial Embedding Statistics), an innovative approach employing Uniform\u0000Manifold Approximation and Projection (UMAP) to create high-dimensional\u0000embeddings that reveal latent structures within data. EMUSES facilitates the\u0000exploration and prediction of emergent properties by statistically analyzing\u0000these latent spaces. Using three distinct datasets--a handwritten digits\u0000dataset from the National Institute of Standards and Technology (NIST, E.\u0000Alpaydin, 1998), the Chicago Face Database (Ma et al., 2015), and brain\u0000disconnection data post-stroke (Talozzi et al., 2023)--we demonstrate EMUSES'\u0000effectiveness in detecting and interpreting emergent properties. Our method not\u0000only predicts outcomes with high accuracy but also provides clear\u0000visualizations and statistical insights into the underlying interactions within\u0000the data. By bridging the gap between predictive accuracy and interpretability,\u0000EMUSES offers researchers a powerful tool to understand the multifactorial\u0000origins of complex phenomena.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141529689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cyber Protection Applications of Quantum Computing: A Review 量子计算的网络保护应用：回顾

arXiv - CS - Emerging Technologies Pub Date : 2024-06-19 DOI: arxiv-2406.13259

Ummar Ahmed, Tuomo Sipola, Jari Hautamäki

{"title":"Cyber Protection Applications of Quantum Computing: A Review","authors":"Ummar Ahmed, Tuomo Sipola, Jari Hautamäki","doi":"arxiv-2406.13259","DOIUrl":"https://doi.org/arxiv-2406.13259","url":null,"abstract":"Quantum computing is a cutting-edge field of information technology that\u0000harnesses the principles of quantum mechanics to perform computations. It has\u0000major implications for the cyber security industry. Existing cyber protection\u0000applications are working well, but there are still challenges and\u0000vulnerabilities in computer networks. Sometimes data and privacy are also\u0000compromised. These complications lead to research questions asking what kind of\u0000cyber protection applications of quantum computing are there and what potential\u0000methods or techniques can be used for cyber protection? These questions will\u0000reveal how much power quantum computing has and to what extent it can\u0000outperform the conventional computing systems. This scoping review was\u0000conducted by considering 815 papers. It showed the possibilities that can be\u0000achievedif quantum technologies are implemented in cyber environments. This\u0000scoping review discusses various domains such as algorithms and applications,\u0000bioinformatics, cloud and edge computing, the organization of complex systems,\u0000application areas focused on security and threats, and the broader quantum\u0000computing ecosystem. In each of these areas, there is significant scope for\u0000quantum computing to be implemented and to revolutionize the working\u0000environment. Numerous quantum computing applications for cyber protection and a\u0000number of techniques to protect our data and privacy were identified. The\u0000results are not limited to network security but also include data security.\u0000This paper also discusses societal aspects, e.g., the applications of quantum\u0000computing in the social sciences. This scoping review discusses how to enhance\u0000the efficiency and security of quantum computing in various cyber security\u0000domains. Additionally, it encourages the reader to think about what kind of\u0000techniques and methods can be deployed to secure the cyber world.","PeriodicalId":501168,"journal":{"name":"arXiv - CS - Emerging Technologies","volume":"54 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0