PC-Attack

Source code for AAAI'23 paper "Practical Cross-System Shilling Attacks with Limited Access to Data" [arXiv preprint].

Environment

Use the command "conda env create -n env_pc_attack -f environment.yml" to copy the exact same environment.

The datasets used in our experiments can be found in the data folder.

We use datasets that are widely used in previous work.

run.py is the main entry of the program, it requires several parameters:

dataset: the source dataset used in the experiment (Possible values: ''filmtrust'', ''automotive'', "yelp", ''ToolHome''. Default is "yelp").
target-dataset: the target dataset used in the experiment (Possible values: ''filmtrust'', ''automotive'', "yelp", ''ToolHome''. Default is "filmtrust").
target-item: id of the target item (Default is 5).
epochs: training rounds.
gpu: GPU id.

Please refer to run.sh for some running examples.

python run.py --dataset yelp --target-dataset filmtrust --target-item 5 --epochs 64 --gpu 2

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
args		args
data		data
models		models
utils		utils
LICENSE		LICENSE
README.md		README.md
environment.yml		environment.yml
generate.py		generate.py
run.py		run.py
train.py		train.py