INTARG generates effective real-time adversarial attacks on time-series regression models by selectively targeting high-confidence high-error steps in a bounded-buffer online setting, increasing prediction error up to 2.42x while attacking under 10% of timesteps.
Targeted attacks on timeseries forecasting
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cs.LG 2years
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UNVERDICTED 2representative citing papers
MorphStrata generates heterogeneous student models via layer-specific perturbations in a Transformer-based Morphence MTD setup, reporting RMSE gains up to 24% and 98% on AEP data under FGSM and BIM attacks with under 1% training time increase.
citing papers explorer
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INTARG: Informed Real-Time Adversarial Attack Generation for Time-Series Regression
INTARG generates effective real-time adversarial attacks on time-series regression models by selectively targeting high-confidence high-error steps in a bounded-buffer online setting, increasing prediction error up to 2.42x while attacking under 10% of timesteps.
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MorphStrata: Layer-Specific Perturbations for Generating Morphence Students in Time-Series Moving Target Defense
MorphStrata generates heterogeneous student models via layer-specific perturbations in a Transformer-based Morphence MTD setup, reporting RMSE gains up to 24% and 98% on AEP data under FGSM and BIM attacks with under 1% training time increase.