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.
Small perturbations are enough: Adversarial attacks on time series prediction,
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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.