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20222026
most citedDefending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation

14 citations · 25 across the 26 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

cs.AI2026

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…

cs.AI2026

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…

cs.AI2026

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…

cs.CR2026

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…

cs.CR2026

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…

cs.CR2026

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.…

cs.CR2026

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…