OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection

1 code implementation • 4 Dec 2023 • Haoyu Jiang, Haiyang Yu, Nan Li, Ping Yi

We then pre-train a generative self-supervised graph autoencoder (GAE) to better learn the features of benign models in order to detect backdoor models without knowing the attack strategy.

backdoor defense Graph Embedding +2

DAFAR: Defending against Adversaries by Feedback-Autoencoder Reconstruction

no code implementations • 11 Mar 2021 • Haowen Liu, Ping Yi, Hsiao-Ying Lin, Jie Shi, Weidong Qiu

We propose DAFAR, a feedback framework that allows deep learning models to detect/purify adversarial examples in high effectiveness and universality, with low area and time overhead.