szanella commited on
Commit
af92cad
1 Parent(s): efcd08a

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +4 -4
README.md CHANGED
@@ -7,13 +7,13 @@ pretty_name: MICO Membership Inference Competition -- CIFAR-10
7
  size_categories:
8
  - n<1K
9
  source-datasets:
10
- - https://www.comp.nus.edu.sg/~reza/files/datasets.html
11
  tags:
12
  - membership-inference
13
  - privacy
14
  - differential-privacy
15
  task_categories:
16
- - tabular-classification
17
  viewer: false
18
  configs:
19
  - config_name: lo
@@ -143,7 +143,7 @@ The challenge data provided to participants is arranged as follows:
143
  `train` data is provided for your convenience: it contains full information about the membership of the challenge points.
144
  You can use it for developing your attack (e.g. as shadow models).
145
 
146
- You can load the public datasets and individual models and their associated challenge data using the functions provided by the `mico-competition` package in the [accompanying repository](https://github.com/microsoft/MICO) (i.e., `loda_cifar10`, `load_model`, `ChallengeDataset.from_path`, etc.)
147
  Please refer to the starting kit for more information.
148
 
149
 
@@ -351,4 +351,4 @@ contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additio
351
  This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow
352
  [Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
353
  Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
354
- Any use of third-party trademarks or logos are subject to those third-party's policies.
 
7
  size_categories:
8
  - n<1K
9
  source-datasets:
10
+ - https://pytorch.org/vision/master/generated/torchvision.datasets.CIFAR10.html
11
  tags:
12
  - membership-inference
13
  - privacy
14
  - differential-privacy
15
  task_categories:
16
+ - image-classification
17
  viewer: false
18
  configs:
19
  - config_name: lo
 
143
  `train` data is provided for your convenience: it contains full information about the membership of the challenge points.
144
  You can use it for developing your attack (e.g. as shadow models).
145
 
146
+ You can load the public datasets and individual models and their associated challenge data using the functions provided by the `mico-competition` package in the [accompanying repository](https://github.com/microsoft/MICO) (i.e., `load_cifar10`, `load_model`, `ChallengeDataset.from_path`, etc.)
147
  Please refer to the starting kit for more information.
148
 
149
 
 
351
  This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow
352
  [Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
353
  Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
354
+ Any use of third-party trademarks or logos are subject to those third-party's policies.