minor changes

Signed-off-by: iamsh4shank <[email protected]>

art/attacks/inference/membership_inference/blindMI_attack.py

@@ -1,23 +1,39 @@
 # MIT License
-#
-# Copyright (C) The Adversarial Robustness Toolbox (ART) Authors 2020
-#
-# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
-# documentation files (the "Software"), to deal in the Software without restriction, including without limitation the
-# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit
-# persons to whom the Software is furnished to do so, subject to the following conditions:
-#
-# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the
-# Software.
-#
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
-# WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
-# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+
+# Copyright (c) 2023 Yisroel Mirsky
+
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 # SOFTWARE.
 
 """
-This module implements membership inference attacks.
+This module implements the Practical Blind Membership Inference Attack via Differential Comparison
+| Paper link: https://arxiv.org/abs/2101.01341
+
+Module author:
+Shashank Priyadarshi
+
+Contributed by:
+The Offensive AI Research Lab
+Ben-Gurion University, Israel
+https://offensive-ai-lab.github.io/
+
+Sponsored by INCD
+
 """
 
 from __future__ import absolute_import, division, print_function, unicode_literals

art/attacks/inference/membership_inference/self_influence_function_attack.py

@@ -1,3 +1,41 @@
+# MIT License
+
+# Copyright (c) 2023 Yisroel Mirsky
+
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
+
+"""
+This module implements the Membership Inference Attack Using Self Influence Functions
+| Paper link: https://arxiv.org/abs/2205.13680
+
+Module author:
+Shashank Priyadarshi
+
+Contributed by:
+The Offensive AI Research Lab
+Ben-Gurion University, Israel
+https://offensive-ai-lab.github.io/
+
+Sponsored by INCD
+
+"""
+
 from art.utils import check_and_transform_label_format
 from art.estimators.classification.classifier import ClassifierMixin
 from art.estimators.estimator import BaseEstimator

art/estimators/classification/pytorch.py

@@ -205,6 +205,19 @@ def device(self) -> "torch.device":
  def model(self) -> "torch.nn.Module":
  return self._model._model # pylint: disable=W0212
 
+ @property
+ def named_parameters():
+ return self._model.named_parameters()
+
+ @property
+ def parameters(self) -> List["torch.nn.Parameter"]:
+ """
+ Get the model parameters.
+
+ :return: The model parameters.
+ """
+ return list(self._model.parameters())
+
  @property
  def input_shape(self) -> Tuple[int, ...]:
  """