3 papers
cs.CV2020
Exploiting the Sensitivity of Adversarial Examples to Erase-and-Restore
Fei Zuo, Qiang Zeng
By adding carefully crafted perturbations to input images, adversarial examples (AEs) can be generated to mislead neural-network-based image classifiers. adversarial perturba…
cs.CR2018
Exploiting the Inherent Limitation of L0 Adversarial Examples
Fei Zuo, Bokai Yang, Xiaopeng Li +2
Despite the great achievements made by neural networks on tasks such as image classification, they are brittle and vulnerable to adversarial example (AE) attacks, which are crafted…
cs.SE2018
Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs
Fei Zuo, Xiaopeng Li, Patrick Young +3
Binary code analysis allows analyzing binary code without having access to the corresponding source code. A binary, after disassembly, is expressed in an assembly language. This in…