14 citations · 25 across the 26 of their papers we have counts for
29 papers
VACS: Value-Aligned Compositional Shielding for Multi-Agent Reasoning
Yiyao Zhang, Diksha Goel, Hussain Ahmad +2
Multi-agent reasoning systems in high-stakes domains must be both accurate and safe, yet agents often follow heterogeneous value priorities (e.g., rigor, conciseness, safety), caus…
When the Judge Should Not Decide: Evidence-Locked, Non-Compensatory Selection Bounds LLM-Judge Failure in Reasoning Pipelines
Yiyao Zhang, Diksha Goel, Hussain Ahmad +2
An LLM judge deployed inside a reasoning pipeline does not merely measure quality, it decides which answer ships. We show that the cost of that decision depends less on judge accur…
CausalNav: Reliability-Certified Causal World Models for Control under Physical-Parameter Shift
Yiyao Zhang, Diksha Goel, Hussain Ahmad +2
A world model is only useful for physical AI if it changes what the agent does, and only safe if it declines to do so when it is wrong. We study both halves of that requirement wit…
DEFENGRAPH: Knowledge Graph-Enhanced LLMs for Blue Team Cyber Defense
Zhen Wang, Kristen Moore, Qin Wang +7
Large Language Models (LLMs) show promise for supporting decision-making in cybersecurity, but their reliability in high-stakes, time-evolving environments remains limited due to h…
AgenticVM: Agentic AI for Adaptive Software Vulnerability Management
Asrul Arifin, Hussain Ahmad, Yiyao Zhang +1
As software systems grow in scale and complexity, vulnerability management is increasingly strained by high alert volumes, fragmented toolchains, and manual triage processes. We in…
Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning
Yiyao Zhang, Diksha Goel, Hussain Ahmad
Autonomous agents are increasingly deployed in both offensive and defensive cyber operations, creating high-speed, closed-loop interactions in critical infrastructure environments.…
TempoNet: Learning Realistic Communication and Timing Patterns for Network Traffic Simulation
Kristen Moore, Diksha Goel, Cody James Christopher +5
Realistic network traffic simulation is critical for evaluating intrusion detection systems, stress-testing network protocols, and constructing high-fidelity environments for cyber…
3S-Trader: A Multi-LLM Framework for Adaptive Stock Scoring, Strategy, and Selection in Portfolio Optimization
Kefan Chen, Hussain Ahmad, Diksha Goel +1
Large Language Models (LLMs) have recently gained popularity in stock trading for their ability to process multimodal financial data. However, most existing methods focus on single…
RegimeFolio: A Regime Aware ML System for Sectoral Portfolio Optimization in Dynamic Markets
Yiyao Zhang, Diksha Goel, Hussain Ahmad +1
Financial markets are inherently non-stationary, with shifting volatility regimes that alter asset co-movements and return distributions. Standard portfolio optimization methods, t…
From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs
Alsharif Abuadbba, Chris Hicks, Kristen Moore +4
Large Language Models (LLMs) are set to reshape cybersecurity by augmenting red and blue team operations. Red teams can exploit LLMs to plan attacks, craft phishing content, simula…
Co-Evolutionary Defence of Active Directory Attack Graphs via GNN-Approximated Dynamic Programming
Diksha Goel, Hussain Ahmad, Kristen Moore +1
Modern enterprise networks increasingly rely on Active Directory (AD) for identity and access management. However, this centralization exposes a single point of failure, allowing a…
Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents
Diksha Goel, Kristen Moore, Jeff Wang +2
Reinforcement Learning (RL) agents are increasingly used to simulate sophisticated cyberattacks, but their decision-making processes remain opaque, hindering trust, debugging, and…
CyberAlly: Leveraging LLMs and Knowledge Graphs to Empower Cyber Defenders
Minjune Kim, Jeff Wang, Kristen Moore +7
The increasing frequency and sophistication of cyberattacks demand innovative approaches to strengthen defense capabilities. Training on live infrastructure poses significant risks…
Maintenance of Structural Hole Spanners in Dynamic Networks
Diksha Goel, Hong Shen, Hui Tian +1
Structural Hole (SH) spanners are the set of users who bridge different groups of users and are vital in numerous applications. Despite their importance, existing work for identify…
The Future of AI: Exploring the Potential of Large Concept Models
Hussain Ahmad, Diksha Goel
The field of Artificial Intelligence (AI) continues to drive transformative innovations, with significant progress in conversational interfaces, autonomous vehicles, and intelligen…
CAMP in the Odyssey: Provably Robust Reinforcement Learning with Certified Radius Maximization
Derui Wang, Kristen Moore, Diksha Goel +8
Deep reinforcement learning (DRL) has gained widespread adoption in control and decision-making tasks due to its strong performance in dynamic environments. However, DRL agents are…
Detection and Prevention of Smishing Attacks
Diksha Goel
Phishing is an online identity theft technique where attackers steal users personal information, leading to financial losses for individuals and organizations. With the increasing…
Machine Learning Driven Smishing Detection Framework for Mobile Security
Diksha Goel, Hussain Ahmad, Ankit Kumar Jain +1
The increasing reliance on smartphones for communication, financial transactions, and personal data management has made them prime targets for cyberattacks, particularly smishing,…
ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Models
Shivansh Chopra, Hussain Ahmad, Diksha Goel +1
The increasing frequency and sophistication of cybersecurity vulnerabilities in software systems underscores the need for more robust and effective vulnerability assessment methods…
Microservice Vulnerability Analysis: A Literature Review with Empirical Insights
Raveen Kanishka Jayalath, Hussain Ahmad, Diksha Goel +2
Microservice architectures are revolutionizing both small businesses and large corporations, igniting a new era of innovation with their exceptional advantages in maintainability,…
Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning
Diksha Goel, Kristen Moore, Mingyu Guo +3
This paper addresses a significant gap in Autonomous Cyber Operations (ACO) literature: the absence of effective edge-blocking ACO strategies in dynamic, real-world networks. It sp…
Towards Deep Learning Enabled Cybersecurity Risk Assessment for Microservice Architectures
Majid Abdulsatar, Hussain Ahmad, Diksha Goel +1
The widespread adoption of microservice architectures has given rise to a new set of software security challenges. These challenges stem from the unique features inherent in micros…
Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information Diffusion
Diksha Goel
With the burgeoning advancements of computing and network communication technologies, network infrastructures and their application environments have become increasingly complex. D…
Cost Sharing Public Project with Minimum Release Delay
Mingyu Guo, Diksha Goel, Guanhua Wang +2
We study the excludable public project model where the decision is binary (build or not build). In a classic excludable and binary public project model, an agent either consumes th…