8 citations · 19 across the 32 of their papers we have counts for
39 papers
Where Rules End and Judges Begin: Measuring the Judgment Boundary in Multi-Agent Systems Security
Shaswata Mitra, Raj Patel, Subash Neupane +3
LLM-based multi-agent systems (MAS) engage tools, share memory, and delegate tasks, often encountering adversarial content. Current defenses for MAS are typically evaluated in isol…
Can LLMs Reason Over Long Horizons? An Empirical Evaluation of Context Strategies for Longitudinal Clinical Reasoning
Taye Akinrele, Noorbakhsh Amiri Golilarz, Subash Neupane +2
Longitudinal clinical reasoning requires large language models (LLMs) to identify and integrate relevant evidence distributed across extended patient histories. Although long-conte…
Can We Anticipate Violence? Multimodal Learning from Pre-Incident Behavioral Cues
Sindhuja Penchala, Mohammed Yusuf Mujawar, Noorbakhsh Amiri Golilarz +2
Detecting violence after it begins is important from recognizing behavioral cues that appear immediately beforehand. This work studies short-horizon pre-incident risk recognition f…
Staying on the Attractor: Supervising Neural Surrogates of 3D Turbulence Where They Leave It
Yilong Dai, Shaswata Mitra, Raj Patel +7
Neural surrogates are trained to predict 3D turbulent flows in place of direct numerical simulation (DNS). For chaotic flows, the goal is short-term pointwise accuracy followed by…
Evaluating the NIST Bugs Framework Against CWE as a Successor for Automated Vulnerability Classification
Md Nazmul Hoque, Shaswata Mitra, Subash Neupane +2
Vulnerability classification based on root cause weaknesses is essential for numerous cybersecurity activities, where the Common Weakness Enumeration (CWE) serves as a public repos…
ChildGaze: A Benchmark Dataset for Collaborative Behavior Understanding in Children
Sindhuja Penchala, Saketh Reddy Kontham, Prachi Bhattacharjee +7
Understanding collaborative behavior in children is important for analyzing social participation, peer interaction, shared attention, and engagement during play and learning activi…
DARP: A Calibrated Dual-Arm RGB-D-IR Dataset for Multi-View Robotic Perception
Manish Kansana, Mohammed Yusuf Mujawar, Sudip Mittal +2
Robotic perception from a single viewpoint is often limited by self-occlusion and incomplete surface visibility. This paper presents DARP(Dual-Arm Robotic Perception) https://doi.o…
Seeing Through Extreme Visual Sparsity: Surface Understanding from a Single Random Visual Patch
Sindhuja Penchala, Sudip Mittal, Noorbakhsh Amiri Golilarz
Surface material recognition from incomplete visual observations remains a challenging problem in robotic perception and environmental understanding. This paper discusses Sparse Su…
Gated Activation Steering for Reducing Sycophancy & Hallucination in Medical Question Answering
Himanshu Tripathi, Subash Neupane, Shaswata Mitra +3
Sycophancy and hallucination are persistent failure modes of Large Language Models (LLMs) across domains. However, it becomes particularly consequential in clinical question answer…
A Taxonomy of Cognitive Capability Gaps in Generative and Agentic AI
Taye Akinrele, Sindhuja Penchala, Noorbakhsh Amiri Golilarz +2
Cognitive AI seeks to move beyond language generation and autonomous task execution toward systems capable of sustained reasoning, adaptive behavior, persistent memory, and self-re…
Find Before You Fine-Tune: A Diagnostic Study of Small LLMs for Cybersecurity QA
Shaswata Mitra, Subash Neupane, Trisha Chakraborty +4
Large Language Models (LLMs) are increasingly fine-tuned for critical-domain Question-Answering (QA), yet choosing which small model to adapt, before paying the cost of adaptation,…
Agentra: A Supervisable Multi-Agent Framework for Enterprise Intrusion Response
Raj Patel, Shaswata Mitra, Michele Guida +3
Enterprise intrusion response still depends on static playbooks and analyst-driven triage, creating delay between alert generation and containment. We present Agentra, a supervisab…
Evaluating Open-Source LLMs for Multi-Label ATT&CK Technique Classification on CTI Reports
Ahmed Ryan, Saad Sakib Noor, Md Erfan +3
Classifying Cyber Threat Intelligence (CTI) using MITRE Adversarial Tactics, Techniques, and Common Knowledge (ATT&CK) is essential for proactive defense, but historically required…
Evaluating Transformer and LSTM Frameworks for Prediction in Ungauged Basins
Taye Akinrele, James Halgren, Noorbakhsh Amiri Golilarz +2
Watershed networks exhibit convergent topologies in which multiple tributaries merge into downstream channels,integrating diverse upstream hydrological processes. In ungauged basin…
AgenticCyOps: Securing Multi-Agentic AI Integration in Enterprise Cyber Operations
Shaswata Mitra, Raj Patel, Sudip Mittal +2
Multi-agent systems (MAS) powered by LLMs promise adaptive, reasoning-driven enterprise workflows, yet granting agents autonomous control over tools, memory, and communication intr…
IRSDA: An Agent-Orchestrated Framework for Enterprise Intrusion Response
Damodar Panigrahi, Raj Patel, Shaswata Mitra +2
Modern enterprise systems face escalating cyber threats that are increasingly dynamic, distributed, and multi-stage in nature. Traditional intrusion detection and response systems…
LLMZ+: Contextual Prompt Whitelist Principles for Agentic LLMs
Tom Pawelek, Raj Patel, Charlotte Crowell +4
Compared to traditional models, agentic AI represents a highly valuable target for potential attackers as they possess privileged access to data sources and API tools, which are tr…
Estimating Reliability of Electric Vehicle Charging Ecosystem using the Principle of Maximum Entropy
Himanshu Tripathi, Subash Neupane, Shahram Rahimi +3
This paper addresses the critical challenge of estimating the reliability of an Electric Vehicle (EV) charging systems when facing risks such as overheating, unpredictable, weather…
FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection
Shaswata Mitra, Subash Neupane, Martin Duclos +5
Signature-based Intrusion Detection Systems (IDS) detect malicious activity by matching network or host events against predefined rules. Security analysts manually develop these ru…
Patient Journey Ontology: Representing Medical Encounters for Enhanced Patient-Centric Applications
Hassan S. Al Khatib, Subash Neupane, Sudip Mittal +3
The healthcare industry is moving towards a patient-centric paradigm that requires advanced methods for managing and representing patient data. This paper presents a Patient Journe…
Towards Secure MLOps: Surveying Attacks, Mitigation Strategies, and Research Challenges
Raj Patel, Himanshu Tripathi, Jasper Stone +4
The rapid adoption of machine learning (ML) technologies has driven organizations across diverse sectors to seek efficient and reliable methods to accelerate model development-to-d…
Towards a HIPAA Compliant Agentic AI System in Healthcare
Subash Neupane, Sudip Mittal, Shahram Rahimi
Agentic AI systems powered by Large Language Models (LLMs) as their foundational reasoning engine, are transforming clinical workflows such as medical report generation and clinica…
Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings
Ivan Montoya Sanchez, Shaswata Mitra, Aritran Piplai +1
The rapid evolution of malware variants requires robust classification methods to enhance cybersecurity. While Large Language Models (LLMs) offer potential for generating malware d…
Navigating MLOps: Insights into Maturity, Lifecycle, Tools, and Careers
Jasper Stone, Raj Patel, Farbod Ghiasi +2
The adoption of Machine Learning Operations (MLOps) enables automation and reliable model deployments across industries. However, differing MLOps lifecycle frameworks and maturity…