1.【论文分享】DOITRUST: Dissecting On-chain Compromised Internet Domains via Graph Learning

• Presenter: 郎峙煜

• Conference:  NDSS '23
  

• Authors: Wang S, Almashor M, Abuadbba A, et al.

• Abstract: this paper introduces DOITRUST, a semi-supervised machine learning scheme that predicts and prunes compromised internet domains from allow-lists.

• Link to paper: https://www.ndss-symposium.org/wp-content/uploads/2023/02/ndss2023_f322_paper.pdf

2.【论文分享】“Len or index or count, anything but v1”: Predicting Variable Names in Decompilation Output with Transfer Learning

• Presenter: 朱文宇

• Conference: S&P '24

• Authors: Pal K K, Bajaj A P, Banerjee P, et al

• Abstract: This paper utilizes a BERT model to predict meaningful variable names in decompilation output.

• Link to paper: https://www.atipriya.com/files/papers/varbert_oakland24.pdf

# 学术沙龙问卷反馈