Implement integration of CrowdGuard #903
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Signed-off-by: Phillip Rieger <[email protected]>
psfoley
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Jan 3, 2024
| "metadata": {}, | ||
| "outputs": [], | ||
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| "# Copyright (C) 2020-2022 TU Darmstadt\n", |
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Should this be updated to 2023?
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I just uploaded the fix for the warnings. Unfortunately, I'm not sure, if I can trigger the workflows myself. Could you re-run them?
Signed-off-by: Phillip Rieger <[email protected]>
Signed-off-by: Phillip Rieger <[email protected]>
psfoley
reviewed
Jan 26, 2024
Signed-off-by: Phillip Rieger <[email protected]>
psfoley
reviewed
Feb 7, 2024
Signed-off-by: Phillip Rieger <[email protected]>
psfoley
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Feb 8, 2024
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* Implement integration of CrowdGuard Signed-off-by: Phillip Rieger <[email protected]> * Fix formatting Signed-off-by: Phillip Rieger <[email protected]> * fix lint checks Signed-off-by: Phillip Rieger <[email protected]> * outsource pretrained model Signed-off-by: Phillip Rieger <[email protected]> * Add note that execution inside TEEs will be added in the future Signed-off-by: Phillip Rieger <[email protected]> --------- Signed-off-by: Phillip Rieger <[email protected]> Co-authored-by: Phillip Rieger <[email protected]> Signed-off-by: nammbash <[email protected]>
nammbash
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Feb 27, 2024
* Implement integration of CrowdGuard Signed-off-by: Phillip Rieger <[email protected]> * Fix formatting Signed-off-by: Phillip Rieger <[email protected]> * fix lint checks Signed-off-by: Phillip Rieger <[email protected]> * outsource pretrained model Signed-off-by: Phillip Rieger <[email protected]> * Add note that execution inside TEEs will be added in the future Signed-off-by: Phillip Rieger <[email protected]> --------- Signed-off-by: Phillip Rieger <[email protected]> Co-authored-by: Phillip Rieger <[email protected]> Signed-off-by: nammbash <[email protected]>
nammbash
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Feb 29, 2024
* Implement integration of CrowdGuard Signed-off-by: Phillip Rieger <[email protected]> * Fix formatting Signed-off-by: Phillip Rieger <[email protected]> * fix lint checks Signed-off-by: Phillip Rieger <[email protected]> * outsource pretrained model Signed-off-by: Phillip Rieger <[email protected]> * Add note that execution inside TEEs will be added in the future Signed-off-by: Phillip Rieger <[email protected]> --------- Signed-off-by: Phillip Rieger <[email protected]> Co-authored-by: Phillip Rieger <[email protected]> Signed-off-by: nammbash <[email protected]>
nammbash
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Feb 29, 2024
* Implement integration of CrowdGuard Signed-off-by: Phillip Rieger <[email protected]> * Fix formatting Signed-off-by: Phillip Rieger <[email protected]> * fix lint checks Signed-off-by: Phillip Rieger <[email protected]> * outsource pretrained model Signed-off-by: Phillip Rieger <[email protected]> * Add note that execution inside TEEs will be added in the future Signed-off-by: Phillip Rieger <[email protected]> --------- Signed-off-by: Phillip Rieger <[email protected]> Co-authored-by: Phillip Rieger <[email protected]> Signed-off-by: nammbash <[email protected]>
manuelhsantana
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* Implement integration of CrowdGuard Signed-off-by: Phillip Rieger <[email protected]> * Fix formatting Signed-off-by: Phillip Rieger <[email protected]> * fix lint checks Signed-off-by: Phillip Rieger <[email protected]> * outsource pretrained model Signed-off-by: Phillip Rieger <[email protected]> * Add note that execution inside TEEs will be added in the future Signed-off-by: Phillip Rieger <[email protected]> --------- Signed-off-by: Phillip Rieger <[email protected]> Co-authored-by: Phillip Rieger <[email protected]> Signed-off-by: manuelhsantana <[email protected]>
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We added a demo implementation of the backdoor defense CrowdGuard (to appear at NDSS 2024) to the tutorial folder.
To demonstrate CrowdGuard's effectiveness, we added a scenario where malicious clients perform a poisoning attack. The poisoning attack is implemented through one code file (cifar10_crowdguard.py) as well as two interactive notebooks. The notebook PoisoningAttackDemo.ipynb is self-contained, while the other notebook (PoisoningAttackDemoReduced.ipynb) imports reused functions and classes from cifar10_crowdguard.py