19 citations · 36 across the 15 of their papers we have counts for
16 papers
SMETA-ZSL:Semantic Meta-Alignment for Zero-Shot Threat Classification
Ivan Alejandro Montoya Sanchez, Anantaa Kotal, Aritran Piplai
Cybersecurity systems must adapt rapidly to emerging threats. However, labeled data for new threat categories is unavailable when those threats first appear. Generalized zero-shot…
Differentially Private Synthetic Data Generation Using Context-Aware GANs
Anantaa Kotal, Anupam Joshi
The widespread use of big data across sectors has raised major privacy concerns, especially when sensitive information is shared or analyzed. Regulations such as GDPR and HIPAA imp…
Empathy by Design: Aligning Large Language Models for Healthcare Dialogue
Emre Umucu, Guillermina Solis, Leon Garza +4
General-purpose large language models (LLMs) have demonstrated remarkable generative and reasoning capabilities but remain limited in healthcare and caregiving applications due to…
When Privacy Isn't Synthetic: Hidden Data Leakage in Generative AI Models
S. M. Mustaqim, Anantaa Kotal, Paul H. Yi
Generative models are increasingly used to produce privacy-preserving synthetic data as a safe alternative to sharing sensitive training datasets. However, we demonstrate that such…
Impugan: Learning Conditional Generative Models for Robust Data Imputation
Zalish Mahmud, Anantaa Kotal, Aritran Piplai
Incomplete data are common in real-world applications. Sensors fail, records are inconsistent, and datasets collected from different sources often differ in scale, sampling rate, a…
FAIRPLAI: A Human-in-the-Loop Approach to Fair and Private Machine Learning
David Sanchez, Holly Lopez, Michelle Buraczyk +1
As machine learning systems move from theory to practice, they are increasingly tasked with decisions that affect healthcare access, financial opportunities, hiring, and public ser…
AgentCyTE: Leveraging Agentic AI to Generate Cybersecurity Training & Experimentation Scenarios
Ana M. Rodriguez, Jaime Acosta, Anantaa Kotal +1
Designing realistic and adaptive networked threat scenarios remains a core challenge in cybersecurity research and training, still requiring substantial manual effort. While large…
When Patients Go to "Dr. Google" Before They Go to the Emergency Department
Michael A Grasso, Alexandra Rogalski, Naveed Farrukh +2
Approximately one-third of adults search the internet for health information before visiting an emergency department (ED), with 75% encountering inaccurate content. This study exam…
Retrieval-Augmented Framework for LLM-Based Clinical Decision Support
Leon Garza, Anantaa Kotal, Michael A. Grasso +1
The increasing complexity of clinical decision-making, alongside the rapid expansion of electronic health records (EHR), presents both opportunities and challenges for delivering d…
PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction
Leon Garza, Anantaa Kotal, Aritran Piplai +3
Redacting Personally Identifiable Information (PII) from unstructured text is critical for ensuring data privacy in regulated domains. While earlier approaches have relied on rule-…
KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generation
Anantaa Kotal, Anupam Joshi
The integration of privacy measures, including differential privacy techniques, ensures a provable privacy guarantee for the synthetic data. However, challenges arise for Generativ…
KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation
Anantaa Kotal, Brandon Luton, Anupam Joshi
In the realm of IoT/CPS systems connected over mobile networks, traditional intrusion detection methods analyze network traffic across multiple devices using anomaly detection tech…
PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification
Leon Garza, Lavanya Elluri, Anantaa Kotal +3
Data protection and privacy is becoming increasingly crucial in the digital era. Numerous companies depend on third-party vendors and service providers to carry out critical functi…
Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis
Anantaa Kotal, Lavanya Elluri, Deepti Gupta +2
Big Data empowers the farming community with the information needed to optimize resource usage, increase productivity, and enhance the sustainability of agricultural practices. The…
Change Management using Generative Modeling on Digital Twins
Nilanjana Das, Anantaa Kotal, Daniel Roseberry +1
A key challenge faced by small and medium-sized business entities is securely managing software updates and changes. Specifically, with rapidly evolving cybersecurity threats, chan…
Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy
Aritran Piplai, Anantaa Kotal, Seyedreza Mohseni +3
Neuro-Symbolic Artificial Intelligence (AI) is an emerging and quickly advancing field that combines the subsymbolic strengths of (deep) neural networks and explicit, symbolic know…