Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Karanjai, Rabimba"'
Autor:
Karanjai, Rabimba, Hussain, Aftab, Rabin, Md Rafiqul Islam, Xu, Lei, Shi, Weidong, Alipour, Mohammad Amin
Unit testing is crucial in software engineering for ensuring quality. However, it's not widely used in parallel and high-performance computing software, particularly scientific applications, due to their smaller, diverse user base and complex logic.
Externí odkaz:
http://arxiv.org/abs/2407.05202
Function-as-a-Service (FaaS) offers a streamlined cloud computing paradigm, but existing centralized systems suffer from vendor lock-in and single points of failure. We propose DeFaaS, a decentralized FaaS system leveraging blockchain technology and
Externí odkaz:
http://arxiv.org/abs/2404.08151
Autor:
Karanjai, Rabimba, Shi, Weidong
Artificial General Intelligence falls short when communicating role specific nuances to other systems. This is more pronounced when building autonomous LLM agents capable and designed to communicate with each other for real world problem solving. Hum
Externí odkaz:
http://arxiv.org/abs/2403.10824
Autor:
Alsagheer, Dana, Karanjai, Rabimba, Diallo, Nour, Shi, Weidong, Lu, Yang, Beydoun, Suha, Zhang, Qiaoning
This paper delves into the dynamic landscape of artificial intelligence, specifically focusing on the burgeoning prominence of large language models (LLMs). We underscore the pivotal role of Reinforcement Learning from Human Feedback (RLHF) in augmen
Externí odkaz:
http://arxiv.org/abs/2403.09798
The advent of large language models (LLMs) has marked a significant milestone in the realm of artificial intelligence, with their capabilities often matching or surpassing human expertise in various domains. Among these achievements, their adeptness
Externí odkaz:
http://arxiv.org/abs/2403.09740
The introduction of large language models (LLMs) like ChatGPT and Google Palm2 for smart contract generation seems to be the first well-established instance of an AI pair programmer. LLMs have access to a large number of open-source smart contracts,
Externí odkaz:
http://arxiv.org/abs/2308.02955
Autor:
Karanjai, Rabimba, Collier, Rowan, Gao, Zhimin, Chen, Lin, Fan, Xinxin, Suh, Taeweon, Shi, Weidong, Xu, Lei
Publikováno v:
12 September 2023
Trusted execution environment (TEE) technology has found many applications in mitigating various security risks in an efficient manner, which is attractive for critical infrastructure protection. First, the natural of critical infrastructure requires
Externí odkaz:
http://arxiv.org/abs/2308.01474
Autor:
Karanjai, Rabimba, Shin, Sangwon, Xiong, and Wujie, Fan, Xinxin, Chen, Lin, Zhang, Tianwei, Suh, Taeweon, Shi, Weidong, Kuchta, Veronika, Sica, Francesco, Xu, Lei
Cryptographic schemes like Fully Homomorphic Encryption (FHE) and Zero-Knowledge Proofs (ZKPs), while offering powerful privacy-preserving capabilities, are often hindered by their computational complexity. Polynomial multiplication, a core operation
Externí odkaz:
http://arxiv.org/abs/2307.06554
Bribery is a perilous issue in the real world, especially in an economical aspect. This fraudulence is unavoidable, and more importantly, it is more difficult to trace in case smart contracts are utilized for bribing on a distributed public blockchai
Externí odkaz:
http://arxiv.org/abs/2306.07984
Autor:
Karanjai, Rabimba
In this research, we aim to explore the potential of natural language models (NLMs) such as GPT-3 and GPT-2 to generate effective phishing emails. Phishing emails are fraudulent messages that aim to trick individuals into revealing sensitive informat
Externí odkaz:
http://arxiv.org/abs/2301.00665