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20202022
most citedCloser Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently

5 citations · 7 across the 4 of their papers we have counts for

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cs.LG2021★ 5 cited

Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently

Futa Waseda, Sosuke Nishikawa, Trung-Nghia Le +2

Deep neural networks are vulnerable to adversarial examples (AEs), which have adversarial transferability: AEs generated for the source model can mislead another (target) model's p…

cs.CL2021★ 2 cited

A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification

Sosuke Nishikawa, Ikuya Yamada, Yoshimasa Tsuruoka +1

We present a multilingual bag-of-entities model that effectively boosts the performance of zero-shot cross-lingual text classification by extending a multilingual pre-trained langu…