activity
20212026
most citedDefending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation

14 citations · 17 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CR2026

CS-Guard: Benchmarking LLM Guardrails for Code Generation Security

Jinyang Li, Mingyu Guo, Hung X. Nguyen

Large language models (LLMs) have been ex- ploited to generate malware, but the effective- ness of guardrails for code generation secu- rity remains unclear. We introduce CS-Guard,…

cs.DS2026

Taming Treewidth DP with Modulators: A General Booster for Graph Heuristics

Jialiang Li, Aneta Neumann, Frank Neumann +2

Treewidth is a fundamental graph invariant that quantifies how tree-like a given graph is. It is extensively used with dynamic programming to design fixed-parameter tractable algor…

cs.AI2025

Adaptive Wizard for Removing Cross-Tier Misconfigurations in Active Directory

Huy Q. Ngo, Mingyu Guo, Hung Nguyen

Security vulnerabilities in Windows Active Directory (AD) systems are typically modeled using an attack graph and hardening AD systems involves an iterative workflow: security team…

cs.CR2024★ 1 cited

Optimizing Cyber Response Time on Temporal Active Directory Networks Using Decoys

Huy Q. Ngo, Mingyu Guo, Hung Nguyen

Microsoft Active Directory (AD) is the default security management system for Window domain network. We study the problem of placing decoys in AD network to detect potential attack…

cs.AI2023

Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack Graphs

Huy Quang Ngo, Mingyu Guo, Hung Nguyen

We study a Stackelberg game between an attacker and a defender on large Active Directory (AD) attack graphs where the defender employs a set of honeypots to stop the attacker from…

cs.NE2023★ 1 cited

Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems

Diksha Goel, Aneta Neumann, Frank Neumann +2

We study a Stackelberg game between one attacker and one defender in a configurable environment. The defender picks a specific environment configuration. The attacker observes the…

cs.DS2023

Limited Query Graph Connectivity Test

Mingyu Guo, Jialiang Li, Aneta Neumann +2

We propose a combinatorial optimisation model called Limited Query Graph Connectivity Test. We consider a graph whose edges have two possible states (On/Off). The edges' states are…

cs.CR2022★ 1 cited

Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs

Mingyu Guo, Max Ward, Aneta Neumann +2

Active Directory (AD) is the default security management system for Windows domain networks. An AD environment naturally describes an attack graph where nodes represent computers/a…

cs.NE2022★ 14 cited

Defending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation

Diksha Goel, Max Ward, Aneta Neumann +3

Active Directory (AD) is the default security management system for Windows domain networks. We study a Stackelberg game model between one attacker and one defender on an AD attack…

cs.GT2021

Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs

Mingyu Guo, Jialiang Li, Aneta Neumann +2

Active Directory is the default security management system for Windows domain networks. We study the shortest path edge interdiction problem for defending Active Directory style at…