activity
20222026
most citedA Machine Learning and Computer Vision Approach to Geomagnetic Storm Forecasting

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2026

MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems

Kunyang Li, Kyle Domico, Jonathan Gregory +1

Multi-agent systems (MAS) are increasingly used to automate complex, distributed workflows. However, their inter-agent communication channels introduce new attack surfaces that rem…

cs.CR2026

Longitudinal Analyses of SAST Tools: A CodeQL Case Study

Jean-Charles Noirot Ferrand, Kyle Domico, Yohan Beugin +1

Open-source software (OSS) pipelines rely on automated static analysis tools to prevent the introduction of vulnerabilities in code. However, there is limited understanding of the…

cs.CR2026

The Role of Learning in Attacking ML-based Network Intrusion Detection

Kyle Domico, Jean-Charles Noirot Ferrand, Patrick McDaniel

Machine Learning-based Network Intrusion Detection Systems (ML-NIDS) can be bypassed by rudimentary adversarial perturbations. Recent work has focused on identifying where such per…

cs.CR2025★ 1 cited

Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning

Kyle Domico, Jean-Charles Noirot Ferrand, Ryan Sheatsley +3

Attacks on machine learning models have been extensively studied through stateless optimization. In this paper, we demonstrate how a reinforcement learning (RL) agent can learn a n…

cs.CR2023

The Efficacy of Transformer-based Adversarial Attacks in Security Domains

Kunyang Li, Kyle Domico, Jean-Charles Noirot Ferrand +1

Today, the security of many domains rely on the use of Machine Learning to detect threats, identify vulnerabilities, and safeguard systems from attacks. Recently, transformer archi…

cs.CR2022

Secure IP Address Allocation at Cloud Scale

Eric Pauley, Kyle Domico, Blaine Hoak +5

Public clouds necessitate dynamic resource allocation and sharing. However, the dynamic allocation of IP addresses can be abused by adversaries to source malicious traffic, bypass…

cs.LG2022★ 3 cited

A Machine Learning and Computer Vision Approach to Geomagnetic Storm Forecasting

Kyle Domico, Ryan Sheatsley, Yohan Beugin +2

Geomagnetic storms, disturbances of Earth's magnetosphere caused by masses of charged particles being emitted from the Sun, are an uncontrollable threat to modern technology. Notab…