most citedPerturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense

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cs.LG2022★ 1 cited

Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense

Thai Le, Jooyoung Lee, Kevin Yen +2

We proposes a novel algorithm, ANTHRO, that inductively extracts over 600K human-written text perturbations in the wild and leverages them for realistic adversarial attack. Unlike…