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Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack

Neural Information Processing Systems

To further verify this finding, we empirically show that these dormant backdoors can be easily re-activated during inference stage, by manipulating the original trigger with well-designed tiny perturbation using universal adversarial attack.




Agent Planning with World Knowledge Model

Neural Information Processing Systems

Imitating humans' mental world knowledge model which provides global prior knowledge before the task and maintains local dynamic knowledge during the task, in this paper, we introduce parametric W orld K nowledge M odel ( WKM) to facilitate agent



Supplementary Material and Datasheet: Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting Contents

Neural Information Processing Systems

This supplementary document follows the Datasheets for Datasets template of (8) to document the Global Flood Forecasting (GFF) dataset and its creation. Further resources are provided: in the accompanying publication https://arxiv.org/abs/2409.18591 in the GitHub repository https://github.com/Multihuntr/GFF