TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting 事件

TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting arXiv:2605.22365v2 Announce Type: replace-cross Abstract: Time Series Forecasting (TSF) is highly vulnerable to backdoor attacks, yet effective defenses remain underexplored due to challenges arising from data entanglement and shifts in task formulation. To fill this gap, we conduct a systematic evaluation of thirteen representative backdoor defenses across the TSF life cycle and analyze their failure modes. O