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1. Imperio 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 43 4

2. Geminio 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 7 1

3. Sanitizer 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. Protego Protego Public

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

   Jupyter Notebook 7 2

5. AnywhereDoor AnywhereDoor Public

   AnywhereDoor is a multi-target backdoor attack tailored for object detection. Once implanted, it enables adversaries to specify different attack types (object vanishing, fabrication, or misclassifi…

   Jupyter Notebook 6 4

6. Chameleon Chameleon Public

   Forked from git-disl/Chameleon

   [ECCV 2024] Chameleon learns to generate a user-centric personalized privacy protection mask, coined as P3-Mask, to protect facial images against unauthorized face recognition.

   Python