Search Results for author: Yunsi Fei

Found 2 papers, 0 papers with code

Sensitive Samples Revisited: Detecting Neural Network Attacks Using Constraint Solvers

no code implementations7 Sep 2021 Amel Nestor Docena, Thomas Wahl, Trevor Pearce, Yunsi Fei

We demonstrate the impact of the use of solvers in terms of functionality and search efficiency, using a case study for the detection of Trojan attacks on Neural Networks.

Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks

no code implementations28 May 2019 Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin

Despite the great achievements of deep neural networks (DNNs), the vulnerability of state-of-the-art DNNs raises security concerns of DNNs in many application domains requiring high reliability. We propose the fault sneaking attack on DNNs, where the adversary aims to misclassify certain input images into any target labels by modifying the DNN parameters.

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