structural-manipulability

Tag

Cards List
#structural-manipulability

Learning Structural Manipulability in Gate-Level Netlists Using Graph Neural Networks

arXiv cs.LG · 2026-07-21 Cached

The paper defines a topology-driven structural manipulability score for gate-level netlists based on path participation, k-core embedding, symmetry, and centrality, and evaluates how well different GNN architectures approximate it across ISCAS85 and EPFL benchmarks, with a case study on Trojan detection.

0 favorites 0 likes
← Back to home

Submit Feedback