Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
NDSS 2025 – Defending Against Membership Inference Attacks On Iteratively Pruned Deep Neural Network
Membership Inference Authors, Creators & Presenters: Jing Shang (Beijing Jiaotong University), Jian Wang (Beijing Jiaotong ...
The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...
A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...
Membership Inference Authors, Creators & Presenters: Zitao Chen (University of British Columbia), Karthik Pattabiraman ...
Artificial Intelligence (AI) has become an integral part of modern technology, transforming various industries by simulating human intelligence through computers. This guide delves into the world of ...
In a recent study published in the journal Nature Medicine, researchers used deep learning to analyze the impact of geographical, sociodemographic, socioeconomic, neurodegeneration-related, and gender ...
As one of the most widely adopted 3D sensing techniques, fringe projection profilometry (FPP) reconstructs the depth information of a scene from stereo images taken with sequential structured ...
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