Skip to content
View hkucs-kachow's full-sized avatar

Highlights

  • Pro

Block or report hkucs-kachow

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. HKU-TASR/Imperio HKU-TASR/Imperio Public

    [IJCAI 2024] Imperio is an LLM-powered backdoor attack. It allows the adversary to issue language-guided instructions to control the victim model's prediction for arbitrary targets.

    Python 44 4

  2. HKU-TASR/Geminio HKU-TASR/Geminio Public

    [ICCV 2025] Geminio is a VLM-powered gradient inversion attack in federated learning (FL). It allows the adversary (the FL server) to describe the data of value and reconstruct the victim client's …

    Python 8 2

  3. HKU-TASR/Sanitizer HKU-TASR/Sanitizer Public

    [EuroS&P 2025] Sanitizer is a server-side method that ensures client-embedded backdoors can only be used for contribution demonstration in federated learning but not be triggered on natural queries…

    Python 7

  4. HKU-TASR/Protego HKU-TASR/Protego Public

    [CVPR 2026] Protego is a user-centric privacy protection method that safeguards facial images from retrieval-based privacy intrusions.

    Jupyter Notebook 8 2