Test-Time Adaptation for Nighttime Color-Thermal Semantic Segmentation

no code implementations • 10 Jul 2023 • Yexin Liu, Weiming Zhang, Guoyang Zhao, Jinjing Zhu, Athanasios Vasilakos, Lin Wang

we propose the first test-time adaptation (TTA) framework, dubbed Night-TTA, to address the problems for nighttime RGBT semantic segmentation without access to the source (daytime) data during adaptation.

Scene Understanding Semantic Segmentation +1

Security and Privacy for Artificial Intelligence: Opportunities and Challenges

no code implementations • 9 Feb 2021 • Ayodeji Oseni, Nour Moustafa, Helge Janicke, Peng Liu, Zahir Tari, Athanasios Vasilakos

The increased adoption of Artificial Intelligence (AI) presents an opportunity to solve many socio-economic and environmental challenges; however, this cannot happen without securing AI-enabled technologies.

Federated Learning

Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things

no code implementations • 15 Oct 2020 • Ling Wang, Cheng Zhang, Zejian Luo, ChenGuang Liu, Jie Liu, Xi Zheng, Athanasios Vasilakos

To reduce the computational cost without loss of generality, we present a defense strategy called a progressive defense against adversarial attacks (PDAAA) for efficiently and effectively filtering out the adversarial pixel mutations, which could mislead the neural network towards erroneous outputs, without a-priori knowledge about the attack type.