20 citations · 41 across the 12 of their papers we have counts for
12 papers
When Agents Act on Web3: An Attack-Surface Survey of MCP, Skills, and Tool Calling
Rabimba Karanjai, Yang Lu, Nour Diallo +4
AI agents increasingly act rather than merely read: across the Model Context Protocol (MCP) ecosystem, the share of deployed tools that modify external state has risen from 27% to…
Adding All Flavors: A Hybrid Random Number Generator for dApps and Web3
Ranjith Chodavarapu, Rabimba Karanjai, Xinxin Fan +2
Random numbers play a vital role in many decentralized applications (dApps), such as gaming and decentralized finance (DeFi) applications. Existing random number provision mechanis…
Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing
Rabimba Karanjai, Aftab Hussain, Md Rafiqul Islam Rabin +3
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 app…
Decentralized FaaS over Multi-Clouds with Blockchain based Management for Supporting Emerging Applications
Rabimba Karanjai, Lei Xu, Lin Chen +2
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 DeF…
LookALike: Human Mimicry based collaborative decision making
Rabimba Karanjai, Weidong Shi
Artificial General Intelligence falls short when communicating role specific nuances to other systems. This is more pronounced when building autonomous LLM agents capable and desig…
Comparing Rationality Between Large Language Models and Humans: Insights and Open Questions
Dana Alsagheer, Rabimba Karanjai, Nour Diallo +4
This paper delves into the dynamic landscape of artificial intelligence, specifically focusing on the burgeoning prominence of large language models (LLMs). We underscore the pivot…
Teaching Machines to Code: Smart Contract Translation with LLMs
Rabimba Karanjai, Lei Xu, Weidong Shi
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 ex…
An Empirical Study of AI-based Smart Contract Creation
Rabimba Karanjai, Edward Li, Lei Xu +1
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 programme…
Decentralized Translator of Trust: Supporting Heterogeneous TEE for Critical Infrastructure Protection
Rabimba Karanjai, Rowan Collier, Zhimin Gao +5
Trusted execution environment (TEE) technology has found many applications in mitigating various security risks in an efficient manner, which is attractive for critical infrastruct…
TPU as Cryptographic Accelerator
Rabimba Karanjai, Sangwon Shin, and Wujie Xiong +8
Cryptographic schemes like Fully Homomorphic Encryption (FHE) and Zero-Knowledge Proofs (ZKPs), while offering powerful privacy-preserving capabilities, are often hindered by their…
Targeted Phishing Campaigns using Large Scale Language Models
Rabimba Karanjai
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 me…
EDSC: An Event-Driven Smart Contract Platform
Mudabbir Kaleem, Keshav Kasichainula, Rabimba Karanjai +4
This paper presents EDSC, a novel smart contract platform design based on the event-driven execution model as opposed to the traditionally employed transaction-driven execution mod…