Are Multilingual Language Models Fragile? IBM Adversarial Attack Strategies Cut MBERT QA Performance by 85% | Synced
AI SecurityMBERT is more susceptible to attacks compared to BERT. MBERT gives priority to finding the answer in certain languages, causing successful attacks even when the adversarial statement is in a different language than the question and context. MBERT gives priority to the language of the question over the language of the context. Augmenting the system with machine-translated data helps build a more robust system. , Lees op syncedreview.com/2021/04/22/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-3/
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