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Commits on Mar 18, 2024

• Merge branch 'main' of github.com:f2cf2e10/advML

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• adding stabilized model

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Commits on Jan 21, 2024

• removing redundant lines from training scripts

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• Updating Roma and restructuring training scripts

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Commits on Jan 20, 2024

• Updating RoMa and the scripts to save the correct models

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• printing robustness metrics

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• Saving models for later use

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Commits on Jan 18, 2024

• ading robustness evaluation metrics (RoMA)

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Commits on Jan 9, 2024

• updating analysis scripts

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Commits on Dec 4, 2023

• changing trades implementation

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Commits on Nov 7, 2023

• experimenting with trades

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• branching out, experimenting with different devices

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Commits on Aug 3, 2023

• updating scripts

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Commits on Jun 15, 2023

• changing cifar10 and nist scripts to filter differently the data and train for a fixed number of epochs instead of looking at the tolerance

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• changing flattening procedure on solvers in case the input is a multidim tensor

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Commits on Jun 12, 2023

• adding "robust" CNN model

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Commits on Jun 9, 2023

• changing stopping criteria for SGD procedures

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Commits on Jun 7, 2023

• changing cifar scripts and changing local cifar.py (l155)

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• updating requirements versions and changing cifar10 scripts to convert data into tensor

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• updating cifar scripts

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• renaming scripts and adding scripts to train on CIFAR10 data

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• updating nist digits scripts

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Commits on Jun 2, 2023

• changing solver to clamp the adversarial example to the max norm

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Commits on Jan 11, 2023

• adding script to classify 3/8 MNIST numbers

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• small fix on TRADES algorithm

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Commits on Jan 10, 2023

• Merge branch 'main' of github.com:b3rt01ac3/advML

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• changing binary classifier accuracy script

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• fixing train/test data usage

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Commits on Jan 9, 2023

• Merge branch 'main' of github.com:b3rt01ac3/advML

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• changing our training signature

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• small changes to run accuracy experiments in parallel

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Commits on Jan 5, 2023

• multithreading accuracy script

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• adding torch accuracy script

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Commits on Jan 4, 2023

• updating our training procedure's signature to also consume a dataloader object

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• changing signature of trainining methods (optimizer is now inside the functions)

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