WPDA: Frequency-based Backdoor Attack with Wavelet Packet Decomposition
Neural Networks, 2026
Abstract
WPDA uses wavelet packet decomposition to identify semantically important frequency regions and inject triggers selectively into them. The resulting attack remains effective at extremely low poisoning ratios while retaining strong stealth and resistance to existing defenses.
Citation
Song, Zhengyao, et al. "WPDA: Frequency-based Backdoor Attack with Wavelet Packet Decomposition." Neural Networks 194, 108074, 2026.
