Zexin Li
Zexin Li
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Deep Learning
Dynamic Transformers Provide a False Sense of Efficiency
Despite much success in natural language processing (NLP), pre-trained language models typically lead to a high computational cost …
Yiming Chen
,
Simin Chen
,
Zexin Li
,
Wei Yang
,
Cong Liu
,
Robby Tan
,
Haizhou Li
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White-Box Multi-Objective Adversarial Attack on Dialogue Generation
Pre-trained transformers are popular in state-of-the-art dialogue generation (DG) systems. Such language models are, however, …
Yufei Li
,
Zexin Li
,
Yingfan Gao
,
Cong Liu
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Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition
A hard challenge in developing practical face recognition (FR) attacks is due to the black-box nature of the target FR model, i.e., …
Zexin Li*
,
Bangjie Yin
,
Taiping Yao
,
Junfeng Guo
,
Shouhong Ding
,
Simin Chen
,
Cong Liu
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