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20212026
most citedARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection

2 citations · 2 across the 13 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CR2025

Toward an Intrusion Detection System for a Virtualization Framework in Edge Computing

Everton de Matos, Hazaa Alameri, Willian Tessaro Lunardi +2

Edge computing pushes computation closer to data sources, but it also expands the attack surface on resource-constrained devices. This work explores the deployment of the Lightweig…

cs.CR2025

UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks

Mansi Phute, Matthew Hull, Haoran Wang +6

Deep learning models deployed in safety critical applications like autonomous driving use simulations to test their robustness against adversarial attacks in realistic conditions.…

cs.NI2025

Graph Neural Networks for Jamming Source Localization

Dania Herzalla, Willian T. Lunardi, Martin Andreoni

Graph-based learning provides a powerful framework for modeling complex relational structures; however, its application within the domain of wireless security remains significantly…

cs.CR2025

3D Gaussian Splat Vulnerabilities

Matthew Hull, Haoyang Yang, Pratham Mehta +8

With 3D Gaussian Splatting (3DGS) being increasingly used in safety-critical applications, how can an adversary manipulate the scene to cause harm? We introduce CLOAK, the first at…

cs.RO2025

Secure Safety Filter: Towards Safe Flight Control under Sensor Attacks

Xiao Tan, Junior Sundar, Renzo Bruzzone +5

Modern autopilot systems are prone to sensor attacks that can jeopardize flight safety. To mitigate this risk, we proposed a modular solution: the secure safety filter, which exten…