A novel general neural network repair paradigm termed NCCDA (Neuron-wise Class-Conditional Distribution Alignment), which theoretically prove a generalization error bound under small-sample settings based on Rademacher complexity, providing formal guarantees.
Liming Bao, Yan Wang, Tao Sun· Proceedings of the 32nd ACM...· 0 citations
Neural network repair aims to correct prediction failures caused by multiple security threats—such as backdoor attacks, natural corruptions, and safety property violations—through limited adjustments to model parameters. However, most existing repair methods rely on single-sample, point-to-point correction strategies,...
Liming Bao, Yan Wang, Tao Sun· Proceedings of the 32nd ACM...· 0 citations
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