AdderNet emerges with superior hardware efficiencies compared to Convolutional Neural Networks (CNNs) by replacing the multiplicative operations with energy-efficient additive alternatives. Nevertheless, AdderNet's security exploration remains underexplored, especially against emerging adversarial weight perturbation attacks, such as the Bit-Flip Attack (BFA), which injects memory faults into weight bits.Â