Publications (28)
GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants
Aamir Hamid, Hemanth Reddy Samidi, Tim Finin +2
Privacy policies of websites are often lengthy and intricate. Privacy assistants assist in simplifying policies and making them more accessible and user friendly. The emergence of…
Quantum-Assisted Greedy Algorithms
Ramin Ayanzadeh, Milton Halem, John Dorband +1
We show how to leverage quantum annealers to better select candidates in greedy algorithms. Unlike conventional greedy algorithms that employ problem-specific heuristics for making…
CAPD: A Context-Aware, Policy-Driven Framework for Secure and Resilient IoBT Operations
Sai Sree Laya Chukkapalli, Anupam Joshi, Tim Finin +1
The Internet of Battlefield Things (IoBT) will advance the operational effectiveness of infantry units. However, this requires autonomous assets such as sensors, drones, combat equ…
An Ensemble Approach for Compressive Sensing with Quantum
Ramin Ayanzadeh, Milton Halem, Tim Finin
We leverage the idea of a statistical ensemble to improve the quality of quantum annealing based binary compressive sensing. Since executing quantum machine instructions on a quant…
Understanding the Logical and Semantic Structure of Large Documents
Muhammad Mahbubur Rahman, Tim Finin
Current language understanding approaches focus on small documents, such as newswire articles, blog posts, product reviews and discussion forum entries. Understanding and extractin…
Interactive Knowledge Base Population
Travis Wolfe, Mark Dredze, James Mayfield +4
Most work on building knowledge bases has focused on collecting entities and facts from as large a collection of documents as possible. We argue for and describe a new paradigm whe…
Quantum-Assisted Greedy Algorithms
Ramin Ayanzadeh, John E Dorband, Milton Halem +1
We show how to leverage quantum annealers (QAs) to better select candidates in greedy algorithms. Unlike conventional greedy algorithms that employ problem-specific heuristics for…
A Study of the Landscape of Privacy Policies of Smart Devices
Aamir Hamid, Hemanth Reddy Samidi, Tim Finin +2
As the adoption of smart devices continues to permeate all aspects of our lives, user privacy concerns have become more pertinent than ever. Privacy policies outline the data handl…
Quantum Annealing Based Binary Compressive Sensing with Matrix Uncertainty
Ramin Ayanzadeh, Seyedahmad Mousavi, Milton Halem +1
Compressive sensing is a novel approach that linearly samples sparse or compressible signals at a rate much below the Nyquist-Shannon sampling rate and outperforms traditional sign…
A Practical Entity Linking System for Tables in Scientific Literature
Varish Mulwad, Tim Finin, Vijay S. Kumar +3
Entity linking is an important step towards constructing knowledge graphs that facilitate advanced question answering over scientific documents, including the retrieval of relevant…
Multi-Qubit Correction for Quantum Annealers
Ramin Ayanzadeh, John Dorband, Milton Halem +1
We present \emph{multi-qubit correction} (MQC) as a novel postprocessing method for quantum annealers that views the evolution in an open-system as a Gibbs sampler and reduces a se…
Generating Fake Cyber Threat Intelligence Using Transformer-Based Models
Priyanka Ranade, Aritran Piplai, Sudip Mittal +2
Cyber-defense systems are being developed to automatically ingest Cyber Threat Intelligence (CTI) that contains semi-structured data and/or text to populate knowledge graphs. A pot…
Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach
Ramin Ayanzadeh, Milton Halem, Tim Finin
We introduce the reinforcement quantum annealing (RQA) scheme in which an intelligent agent interacts with a quantum annealer that plays the stochastic environment role of learning…
Unfolding the Structure of a Document using Deep Learning
Muhammad Mahbubur Rahman, Tim Finin
Understanding and extracting of information from large documents, such as business opportunities, academic articles, medical documents and technical reports, poses challenges not p…
Understanding and representing the semantics of large structured documents
Muhammad Mahbubur Rahman, Tim Finin
Understanding large, structured documents like scholarly articles, requests for proposals or business reports is a complex and difficult task. It involves discovering a document's…
Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs
Sudip Mittal, Anupam Joshi, Tim Finin
Knowledge graphs and vector space models are robust knowledge representation techniques with individual strengths and weaknesses. Vector space models excel at determining similarit…
Improving Neural Named Entity Recognition with Gazetteers
Chan Hee Song, Dawn Lawrie, Tim Finin +1
The goal of this work is to improve the performance of a neural named entity recognition system by adding input features that indicate a word is part of a name included in a gazett…
Deontic Policies for Runtime Governance of Agentic AI Systems
Anupam Joshi, Tim Finin, Karuna Pande Joshi +1
Autonomous agentic AI systems driven by Large Language Models (LLMs) introduce a new class of security, privacy, and compliance challenges: an agent that can invoke tools, manipula…
Semantics and Conversations for an Agent Communication Language
Yannis Labrou, Tim Finin
We address the issues of semantics and conversations for agent communication languages and the Knowledge Query Manipulation Language (KQML) in particular. Based on ideas from speec…
SURFACE: Semantically Rich Fact Validation with Explanations
Ankur Padia, Francis Ferraro, Tim Finin
Judging the veracity of a sentence making one or more claims is an important and challenging problem with many dimensions. The recent FEVER task asked participants to classify inpu…
Recognizing and Extracting Cybersecurtity-relevant Entities from Text
Casey Hanks, Michael Maiden, Priyanka Ranade +2
Cyber Threat Intelligence (CTI) is information describing threat vectors, vulnerabilities, and attacks and is often used as training data for AI-based cyber defense systems such as…
Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization
Ankur Padia, Kostantinos Kalpakis, Francis Ferraro +1
We present a family of novel methods for embedding knowledge graphs into real-valued tensors. These tensor-based embeddings capture the ordered relations that are typical in the kn…
Jointly Identifying and Fixing Inconsistent Readings from Information Extraction Systems
Ankur Padia, Francis Ferraro, Tim Finin
KGCleaner is a framework to identify and correct errors in data produced and delivered by an information extraction system. These tasks have been understudied and KGCleaner is the…
Cognitive Techniques for Early Detection of Cybersecurity Events
Sandeep Narayanan, Ashwinkumar Ganesan, Karuna Joshi +3
The early detection of cybersecurity events such as attacks is challenging given the constantly evolving threat landscape. Even with advanced monitoring, sophisticated attackers ca…
SAT-based Compressive Sensing
Ramin Ayanzadeh, Milton Halem, Tim Finin
We propose to reduce the original well-posed problem of compressive sensing to weighted-MAX-SAT. Compressive sensing is a novel randomized data acquisition approach that linearly s…
Cyber-All-Intel: An AI for Security related Threat Intelligence
Sudip Mittal, Anupam Joshi, Tim Finin
Keeping up with threat intelligence is a must for a security analyst today. There is a volume of information present in `the wild' that affects an organization. We need to develop…
Ontology-Grounded Topic Modeling for Climate Science Research
Jennifer Sleeman, Tim Finin, Milton Halem
In scientific disciplines where research findings have a strong impact on society, reducing the amount of time it takes to understand, synthesize and exploit the research is invalu…
Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning
Aamir Hamid, Bharg Barot, Satvik Racharla +3
While large language models (LLMs) enable strong question answering (QA), budgeted deployment is complicated by nondeterminism and heterogeneous resource profiles (cost, latency, a…