Zhifei Yu — accepted AI-conference papers

2025

Detecting and Corrupting Convolution-based Unlearnable Examples

Minghui Li, Xianlong Wang, Zhifei Yu, Shengshan Hu, Ziqi Zhou, Longling Zhang +1

AAAI 2025technical

Convolution-based unlearnable examples (UEs) employ class-wise multiplicative convolutional noise to training samples, severely compromising model performance. This fire-new type of UEs have successfully countered all defense mechanisms against UEs. The failure of such defenses can be attributed to…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2025

NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors

Ziqi Zhou, Bowen Li, Yufei Song, Zhifei Yu, Shengshan Hu, Wei Wan +3

AAAI 2025technical

With the advancement of deep learning, object detectors (ODs) with various architectures have achieved significant success in complex scenarios like autonomous driving. Previous adversarial attacks against ODs have been focused on designing customized attacks targeting their specific structures (eg,…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗