From the 2 of 13 linked papers with an AI index.
13 papers
Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation
Rabimba Karanjai, Yang Lu, Hemanth Hegadehalli Madhavarao +2
The paper shows that large language models used to analyze network security logs can be tricked by malicious log entries that inject hidden prompts, and it evaluates attacks and de…
CausalGraphX: A Counterfactual Graph Neural Network Framework for Explainable Systemic Risk Assessment
Rabimba Karanjai, Hemanth Madhavarao, Lei Xu +1
The paper presents CausalGraphX, a framework that combines graph neural networks with counterfactual reasoning to predict and explain systemic risk in financial networks, offering…
zkRansomware: Proof-of-Data Recoverability and Multi-round Game Theoretic Modeling of Ransomware Decisions
Xinyu Hou, Yang Lu, Rabimba Karanjai +2
Ransomware is still one of the most serious cybersecurity threats. Victims often pay but fail to regain access to their data, while also facing the danger of losing data privacy. T…
Securing Smart Contract Languages with a Unified Agentic Framework for Vulnerability Repair in Solidity and Move
Rabimba Karanjai, Lei Xu, Weidong Shi
The rapid growth of the blockchain ecosystem and the increasing value locked in smart contracts necessitate robust security measures. While languages like Solidity and Move aim to…
HPCAgentTester: A Multi-Agent LLM Approach for Enhanced HPC Unit Test Generation
Rabimba Karanjai, Lei Xu, Weidong Shi
Unit testing in High-Performance Computing (HPC) is critical but challenged by parallelism, complex algorithms, and diverse hardware. Traditional methods often fail to address non-…
QuCoWE Quantum Contrastive Word Embeddings with Variational Circuits for NearTerm Quantum Devices
Rabimba Karanjai, Hemanth Hegadehalli Madhavarao, Lei Xu +1
We present QuCoWE a framework that learns quantumnative word embeddings by training shallow hardwareefficient parameterized quantum circuits PQCs with a contrastive skipgram object…