Closed shirleyatgithub closed 1 year ago
That's weird. It should download the data automatically here: https://github.com/jubueche/SPAA/blob/b1f293582005ff22f54e177e36ce715a675677d5/dataloader_NMNIST.py#L35
Can you maybe break there and check why this is not downloading? Maybe there is a pathing issue.
Thank you for the quick reply. I checked the code and found they are on dropbox which is not accessible for me. I wonder if there is any possibility that I can get access to the dataset from another link, such as github or onedrive?
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---- Replied Message ---- | From | Julian @.> | | Date | 03/10/2023 15:10 | | To | @.> | | Cc | @.>@.> | | Subject | Re: [jubueche/SPAA] question about tutorial_NMNIST.py (Issue #8) |
That's weird. It should download the data automatically here: https://github.com/jubueche/SPAA/blob/b1f293582005ff22f54e177e36ce715a675677d5/dataloader_NMNIST.py#L35
Can you maybe break there and check why this is not downloading? Maybe there is a pathing issue.
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You can download it from here: https://www.garrickorchard.com/datasets/n-mnist I am closing this now :)
Thank you!
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---- Replied Message ---- | From | Julian @.> | | Date | 03/10/2023 15:35 | | To | @.> | | Cc | @.>@.> | | Subject | Re: [jubueche/SPAA] question about tutorial_NMNIST.py (Issue #8) |
You can download it from here: https://www.garrickorchard.com/datasets/n-mnist I am closing this now :)
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Dear Julian, I am Shasha Guo from NUDT, China. I read your paper "Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient" and am very interested in it. And thank you for sharring the code. I tried the universal patch attack on NMNIST but the success rate is very low at around 0.2, I wonder if it's right. And there's another question is that you have mentioned adversarial training in the paper, I wonder if you have include it in the project? Thanks for your attention. Best wishes, Shasha Guo
At 2023-03-10 15:55:07, "GUO SHASHA" @.***> wrote:
Thank you!
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---- Replied Message ---- | From | Julian @.> | | Date | 03/10/2023 15:35 | | To | @.> | | Cc | @.>@.> | | Subject | Re: [jubueche/SPAA] question about tutorial_NMNIST.py (Issue #8) |
You can download it from here: https://www.garrickorchard.com/datasets/n-mnist I am closing this now :)
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Hi,
I haven’t run the patch code in a while so it’s likely there is still an issue. Could you write to me at jub (at) zurich.ibm.com ?
From: shirleyatgithub @.> Sent: Wednesday, July 19, 2023 5:30:27 AM To: jubueche/SPAA @.> Cc: Julian Buechel1 @.>; State change @.> Subject: [EXTERNAL] Re: [jubueche/SPAA] question about tutorial_NMNIST.py (Issue #8)
Dear Julian, I am Shasha Guo from NUDT, China. I read your paper "Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient" and am very interested in it. And thank you for sharring the code. I tried the ZjQcmQRYFpfptBannerStart This Message Is From an External Sender This message came from outside your organization. https://us-phishalarm-ewt.proofpoint.com/EWT/v1/PjiDSg!2i-qihQ34BPxsIZXtI9rrdxmJFzoE6CmZlYYzwZ1-tGjjbonxaB8hvsSXGQhGSDp8mMkNfA0p29gLsbZRcZmUEYaBPdi5A$ Report Suspicious
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Dear Julian, I am Shasha Guo from NUDT, China. I read your paper "Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient" and am very interested in it. And thank you for sharring the code. I tried the universal patch attack on NMNIST but the success rate is very low at around 0.2, I wonder if it's right. And there's another question is that you have mentioned adversarial training in the paper, I wonder if you have include it in the project? Thanks for your attention. Best wishes, Shasha Guo
At 2023-03-10 15:55:07, "GUO SHASHA" @.***> wrote:
Thank you!
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---- Replied Message ---- | From | Julian @.> | | Date | 03/10/2023 15:35 | | To | @.> | | Cc | @.>@.> | | Subject | Re: [jubueche/SPAA] question about tutorial_NMNIST.py (Issue #8) |
You can download it from here: https://www.garrickorchard.com/datasets/n-mnisthttps://www.garrickorchard.com/datasets/n-mnist I am closing this now :)
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— Reply to this email directly, view it on GitHubhttps://github.com/jubueche/SPAA/issues/8#issuecomment-1641361280, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AHK2FWLWKF3K2HV3PRFBGFLXQ5IFHANCNFSM6AAAAAAVVZC3MA. You are receiving this because you modified the open/close state.Message ID: @.***>
dear author, thanks for sharing the code. I run into an problem with tutorial_NMNIST.py which outputs FileNotFoundError: [Errno 2] No such file or directory: 'data\N-MNIST\test_Files.zip' error. I wonder where to find the data, the raw dataset from downloaded N-MNIST? Looking forward to your reply