Source Models Leak What They Shouldn’t: Unlearning Zero-Shot Transfer in Domain Adaptation Through Adversarial Optimization

Setup

Requirements

Ensure you have Python 3.12.2 installed.

Required Packages:

matplotlib==3.9.2
numba==0.59.1
numpy==1.26.4
pillow==10.4.0
prettytable==3.10.0
scikit-learn==1.5.0
scipy==1.14.1
timm==1.0.3
torch==2.4.1+cu118
torchvision==0.19.1+cu118
tqdm==4.66.2

Dataset Setup

Download the OfficeHome dataset from this link and place it in the data/OfficeHome directory.

Alternatively, if you already have the dataset stored elsewhere, update the data_path in the configuration dictionary found in main.py.

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Running SCADA Unlearning Methods on the OfficeHome Dataset

Running the Proposed Method

To run the proposed method for classes {1,2,3} on a single OfficeHome Task, say (Art → Product), use the following command:

python main.py -d OfficeHome -s Art -t Product -m minimax -fc 1,2,3

Running the proposed method for All Tasks

To run the proposed method for classes {1,2,3} across all tasks in OfficeHome, execute:

bash minimax.sh