3 citations · 5 across the 11 of their papers we have counts for
11 papers
Reachability-Based Capability Confinement for LLM Agents under Indirect Prompt Injection
Wujie Xiong, Rabimba Karanjai, Yang Lu +2
Large language model agents place outputs from external skills into their execution context, allowing attacker-controlled data to influence later privileged actions. Existing defen…
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…
PACE: Policy-Attested Contract Execution for Safe AI Agents in Decentralized Finance
Rabimba Karanjai, Yang Lu, Richard Williamson +5
Autonomous AI agents are emerging as interfaces for decentralized finance (DeFi) actions such as swaps, lending operations, and yield management. Because these agents rely on large…
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
Large Language Models are increasingly deployed in Security Operations Centers for log analysis tasks including summarization, alert triage, and threat investigation. These systems…
Rethinking Publication: A Certification Framework for AI-Enabled Research
Yang Lu, Rabimba Karanjai, Lei Xu +1
AI research pipelines can now generate academic work that may satisfy existing peer review standards for quality, novelty, and methodological rigor. However, the publication system…
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…
Evaluating the Quality of Randomness and Entropy in Tasks Supported by Large Language Models
Rabimba Karanjai, Yang Lu, Ranjith Chodavarapu +2
The rapid advancement of large language model (LLM) technology has led to diverse applications, many of which inherently require randomness, such as stochastic decision-making, gam…
From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models
Dana Alsagheer, Yang Lu, Abdulrahman Kamal +7
Recent advancements in Large Language Models (LLMs) have demonstrated remarkable capabilities in various domains. However, effective decision-making relies heavily on strong reason…
Synthesizing Public Opinions with LLMs: Role Creation, Impacts, and the Future to eDemorcacy
Rabimba Karanjai, Boris Shor, Amanda Austin +4
This paper investigates the use of Large Language Models (LLMs) to synthesize public opinion data, addressing challenges in traditional survey methods like declining response rates…
LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis
Rabimba Karanjai, Yang Lu, Dana Alsagheer +4
Logs are critical resources that record events, activities, or messages produced by software applications, operating systems, servers, and network devices. However, consolidating t…
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…