Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

M. Pesé

h-index 10 View on Semantic Scholar

We have 3 of 65 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Sep 2026

Evaluating the Robustness of Segmentation Models against Adversarial Patches in Off-Road Environments

Semantic Segmentation (SS) is critical for autonomous vehicles to navigate off-road environments by identifying drivable terrain. Although models like ResNet34+UNet and EfficientViT have been proposed for these tasks, their susceptibility to localized adversarial patches in unstructured environments remains under-resea...

Christopher Salas, M. Pesé, Bing Li et al. · 0 citations
Open access Aug 2026

GuixChain: Enforcing Reproducible Builds and Provenance Integrity for Secure Automotive OTA Pipelines

Ensuring the integrity of automotive software, from source code to deployed binaries, has become critical as vehicles increasingly rely on over-the-air (OTA) updates and complex supply chains. The Uptane framework secures OTA update delivery for automotive systems but does not enforce integrity within the upstream soft...

Iwinosa Aideyan, M. Pesé, Richard. R. Brooks · 0 citations
Preprint Aug 2026

Distilling Vision-Language Models for Robust Traffic Sign Perception in Autonomous Vehicles

Evaluated on GTSRB and LISA across four backbones and three physical attack types, LAMDA is the only method among ten evaluated that consistently improves robustness across all attack-backbone-dataset combinations, while preserving or improving clean accuracy in nearly all cases.

Pedram MohajerAnsari, Amir Salarpour, M. Pesé · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.