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Financial systems have a growing reliance on computer-based and distributed systems, making FinTech systems vulnerable to advanced and quickly emerging cyber-criminal threats. Traditional security systems and fixed machine learning systems…

密码学与安全 · 计算机科学 2026-03-26 Gunjan Mishra , Yash Mishra

Smart contract platforms facilitate the development of important and diverse distributed applications in a simple manner. This simplicity stems from the inherent utility of employing the state of smart contracts to store, query and verify…

分布式、并行与集群计算 · 计算机科学 2019-08-05 Christos Patsonakis , Mema Roussopoulos

Mobile authentication using behavioral biometrics has been an active area of research. Existing research relies on building machine learning classifiers to recognize an individual's unique patterns. However, these classifiers are not…

机器学习 · 计算机科学 2020-08-18 Cong Wang , Yanru Xiao , Xing Gao , Li Li , Jun Wang

Fixing bugs is easiest by patching source code. However, source code is not always available: only 0.3% of the ~49M smart contracts that are currently deployed on Ethereum have their source code publicly available. Moreover, since contracts…

密码学与安全 · 计算机科学 2022-07-06 Christof Ferreira Torres , Hugo Jonker , Radu State

Decentralized Finance (DeFi) is emerging as a peer-to-peer financial ecosystem, enabling participants to trade products on a permissionless blockchain. Built on blockchain and smart contracts, the DeFi ecosystem has experienced explosive…

密码学与安全 · 计算机科学 2023-09-07 Peng Qian , Rui Cao , Zhenguang Liu , Wenqing Li , Ming Li , Lun Zhang , Yufeng Xu , Jianhai Chen , Qinming He

Fully homomorphic encryption (FHE) enables private inference by evaluating neural networks on encrypted data. In this way, we can delegate the computation to a third party server without ever revealing the user's data. Currently, the CKKS…

密码学与安全 · 计算机科学 2026-05-25 Philipp Kern , Lorenzo Rovida , Samuel Teuber , Edoardo Manino , Carsten Sinz , Alberto Leporati

Evaluating Large Language Models (LLMs) on repository-level feature implementation is a critical frontier in software engineering. However, establishing a benchmark that faithfully mirrors realistic development scenarios remains a…

计算与语言 · 计算机科学 2026-02-19 Haorui Chen , Chengze Li , Jia Li

Neural encoding and decoding, which aim to characterize the relationship between stimuli and brain activities, have emerged as an important area in cognitive neuroscience. Traditional encoding models, which focus on feature extraction and…

神经元与认知 · 定量生物学 2019-08-26 Hao Wu , Ziyu Zhu , Jiayi Wang , Nanning Zheng , Badong Chen

Blockchain is a decentralized, distributed ledger technology that ensures transparency, security, and immutability through cryptographic techniques. However, advancements in quantum computing threaten the security of classical cryptographic…

密码学与安全 · 计算机科学 2026-01-14 Nicholas J. C. Papadopoulos

The exploitation of smart-contract vulnerabilities can have catastrophic consequences such as the loss of millions of pounds worth of crypto assets. Formal verification can be a useful tool in identifying vulnerabilities and proving that…

编程语言 · 计算机科学 2020-02-10 Pedro Antonino , A. W. Roscoe

Blockchain adoption has surged with the rise of Decentralized Finance (DeFi) applications. However, the significant value of digital assets managed by DeFi protocols makes them prime targets for attacks. Current smart contract vulnerability…

密码学与安全 · 计算机科学 2024-11-21 Hongbo Wen , Hanzhi Liu , Jiaxin Song , Yanju Chen , Wenbo Guo , Yu Feng

Context:Smart contracts are prone to numerous security threats due to undisclosed vulnerabilities and code weaknesses. In Ethereum smart contracts, the challenges of timely addressing these code weaknesses highlight the critical need for…

软件工程 · 计算机科学 2024-05-16 Majd Soud , Grischa Liebel , Mohammad Hamdaqa

Smart contracts are essential for managing digital assets in blockchain networks, highlighting the need for effective security measures. This paper introduces SmartLLMSentry, a novel framework that leverages large language models (LLMs),…

密码学与安全 · 计算机科学 2024-12-02 Oualid Zaazaa , Hanan El Bakkali

Recently, blockchain technology has become a topic in the spotlight but also a hotbed of various cybercrimes. Among them, phishing scams on blockchain have been found making a notable amount of money, thus emerging as a serious threat to…

社会与信息网络 · 计算机科学 2021-01-01 Jiajing Wu , Qi Yuan , Dan Lin , Wei You , Weili Chen , Chuan Chen , Zibin Zheng

Control barrier functions (CBFs) are important in safety-critical systems and robot control applications. Neural networks have been used to parameterize and synthesize CBFs with bounded control input for complex systems. However, it is…

机器人学 · 计算机科学 2024-10-23 Hanjiang Hu , Yujie Yang , Tianhao Wei , Changliu Liu

Smart contracts on a blockchain behave precisely as specified by their code. A vulnerability in this code can lead to unexpected behaviour, which is hard to fix because a blockchain does not allow to change smart contract code after its…

编程语言 · 计算机科学 2019-11-27 Markus Knecht

Blockchain offers a decentralized, immutable, transparent system of records. It offers a peer-to-peer network of nodes with no centralised governing entity making it unhackable and therefore, more secure than the traditional paper-based or…

密码学与安全 · 计算机科学 2019-11-27 Harsh Jot Singh , Abdelhakim Senhaji Hafid

Smart contract is the building block of blockchain systems that enables automated peer-to-peer transactions and decentralized services. With the increasing popularity of smart contracts, blockchain systems, in particular Ethereum, have been…

密码学与安全 · 计算机科学 2021-05-24 Huiwen Hu , Yuedong Xu

Due to regulatory compliance and governance management, modern (permissioned) blockchains require flexible endorsement, which allows the endorsement policy for each contract or state object to be individually defined. To enable flexible…

分布式、并行与集群计算 · 计算机科学 2026-05-01 Rongji Huang , Yifeng Ye , Gerui Wang , Mingchao Wan , Yuxing Duan , Jingjing Zhang , Guangtao Xue , Shengyun Liu

In this work, we present a novel machine learning framework called Self-Directed Task Identification (SDTI), which enables models to autonomously identify the correct target variable for each dataset in a zero-shot setting without…

机器学习 · 计算机科学 2026-04-06 Timothy Gould , Sidike Paheding
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