Paper-Conference

Rethinking the Privacy of Text Embeddings: A Reproducibility Study of “Text Embeddings Reveal (Almost) As Much As Text”
Text embeddings are fundamental to many natural language processing~(NLP) tasks, extensively applied in domains such as recommendation …
Dominykas Seputis, Yongkang Li, Karsten Langerak, Serghei Mihailov
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Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval
This paper concerns corpus poisoning attacks in dense information retrieval, where an adversary attempts to compromise the ranking …
Yongkang Li, Panagiotis Eustratiadis,Simon Lupart, Evangelos Kanoulas
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Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval
HotFlip is a topical gradient-based word substitution method for attacking language models. Recently, this method has been further …
Yongkang Li, Panagiotis Eustratiadis, Evangelos Kanoulas
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Heterogeneous hypergraph neural network for friend recommendation with human mobility
Friend recommendation from human mobility is a vital real-world application of location-based social networks (LBSN). It is necessary …
Yongkang Li, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin, Jinliang Deng, Xuan Song
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