4 citations · 5 across the 5 of their papers we have counts for
5 papers
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…
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…
Adversarial Neural Networks for Error Correcting Codes
Hung T. Nguyen, Steven Bottone, Kwang Taik Kim +2
Error correcting codes are a fundamental component in modern day communication systems, demanding extremely high throughput, ultra-reliability and low latency. Recent approaches us…
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge
Hung T. Nguyen, Roberto Morabito, Kwang Taik Kim +1
Edge computing has revolutionized the world of mobile and wireless networks world thanks to its flexible, secure, and performing characteristics. Lately, we have witnessed the incr…
Multiple Infection Sources Identification with Provable Guarantees
Hung T. Nguyen, Preetam Ghosh, Michael L. Mayo +1
Given an aftermath of a cascade in the network, i.e. a set of "infected" nodes after an epidemic outbreak or a propagation of rumors/worms/viruses, how can we infer the sourc…