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  • 21:50 (UTC +09:00)

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cawandmilk/README.md

Hi there 👋

All histories about me can be found in CV paper.

News

2024/02 Our paper, An analysis of the Correlation between Generated Sentences of Masked Language Models and Original Training Data Distribution, an oral presentation at KCS 2023, has been published online. Congratulations!

2024/02: We have submitted our paper, Amplifying Training Data Exposure through Fine-Tuning with Pseudo-Labeled Memberships, to an anonymous AI conference and is currently under review.

2024/01: We have submitted our paper, Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training, to an anonymous security conference and is currently under review.

2023/11: We're pleased to inform you that our paper CIA-based Analysis of LLM Alignment in Information Security has been selected for an oral presentation at CISC-W'23. Congratulations!

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  1. seclab-yonsei/amplifying-exposure seclab-yonsei/amplifying-exposure Public

    Python 2

  2. seclab-yonsei/mia-ko-lm seclab-yonsei/mia-ko-lm Public

    Performing membership inference attack (MIA) against Korean language models (LMs).

    Python 6 1

  3. evasion_attack evasion_attack Public

    Training, inference, and evaluate of the speaker identification and verification model are carried out, and evasion attacks (FGSM, PGD) are performed.

    Python 1

  4. gas gas Public archive

    Python 4