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Wu Zhang

2 accepted papers

2022

Learning Coated Adversarial Camouflages for Object Detectors

IJCAI 2022poster

An adversary can fool deep neural network object detectors by generating adversarial noises. Most of the existing works focus on learning local visible noises in an adversarial "patch" fashion. However, the 2D patch attached to a 3D object tends to suffer from an inevitable reduction in attack perfo…

2022

Making Adversarial Examples More Transferable and Indistinguishable

AAAI 2022technical

Fast gradient sign attack series are popular methods that are used to generate adversarial examples. However, most of the approaches based on fast gradient sign attack series cannot balance the indistinguishability and transferability due to the limitations of the basic sign structure. To address th…