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Added support for SNAL attack #4678

Added support for SNAL attack

Added support for SNAL attack #4678

Workflow file for this run

name: CI Legacy
on:
# Run on manual trigger
workflow_dispatch:
# Run on pull requests
pull_request:
paths-ignore:
- '*.md'
# Run on merge queue
merge_group:
# Run when pushing to main or dev branches
push:
branches:
- main
- dev*
# Run scheduled CI flow daily
schedule:
- cron: '0 8 * * 0'
jobs:
test:
runs-on: ubuntu-20.04
strategy:
fail-fast: false
matrix:
module: [attacks_1, attacks_2, estimators, defences, metrics, art]
include:
- name: legacy (TensorFlow 2.14.0 Keras 2.14.0 PyTorch 1.13.1 scikit-learn 1.1.3 Python 3.9)
framework: legacy
python: '3.10'
tensorflow: 2.14.0
keras: 2.14.0
torch: 1.13.1+cpu
torchvision: 0.14.1+cpu
torchaudio: 0.13.1+cpu
scikit-learn: 1.1.3
name: Run ${{ matrix.module }} ${{ matrix.name }} Tests
steps:
- name: Checkout Repo
uses: actions/checkout@v4
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python }}
- name: Install Dependencies
run: |
sudo apt-get update
sudo apt-get -y -q install ffmpeg libavcodec-extra
python -m pip install --upgrade pip setuptools wheel
pip install -q -r requirements_test.txt
pip install tensorflow==${{ matrix.tensorflow }}
pip install keras==${{ matrix.keras }}
pip install scikit-learn==${{ matrix.scikit-learn }}
pip install torch==${{ matrix.torch }} -f https://download.pytorch.org/whl/cpu/torch_stable.html
pip install torchvision==${{ matrix.torchvision }} -f https://download.pytorch.org/whl/cpu/torch_stable.html
pip install torchaudio==${{ matrix.torchaudio }} -f https://download.pytorch.org/whl/cpu/torch_stable.html
pip list
- name: Run ${{ matrix.name }} ${{ matrix.module }} Tests
run: ./run_tests.sh ${{ matrix.framework }} ${{ matrix.module }}
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
with:
fail_ci_if_error: true