alibaba / alibaba/easyrobust

An issue about the official code for DMMIA in "easyrobust/examples/attacks/dmmia_inversion"

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Dominant language
Jupyter Notebook
Stars
339
Forks
38
PR merge metrics
No merged PRs in 30d

Description

Recently, I have tried to reproduce the results presented in the paper "Model Inversion Attack via Dynamic Memory Learning" with the official code in the path "easyrobust/examples/attacks/dmmia_inversion". However, I found that much of the code is conflicted with the paper's description and instead kept the baseline settings of "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks".

I wonder if there is an up-to-date version of the code for DMMIA, whicn may not be uploaded to the repository? I would appreciate it if you could help us with it.

Contributor guide

No contributing guide indexed for this repository

Research direction

Start by inspecting easyrobust/examples/attacks/dmmia_inversion and compare its implementation and settings with the DMMIA paper and the Plug & Play Attacks baseline. The issue names no specific test or entry point; done would require confirming whether an up-to-date DMMIA implementation exists or documenting that the code matches the paper rather than the baseline.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook, pytorch
Domain
computer-vision, machine-learning, security
Issue type
Bug
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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