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# Generative Adversarial Networks (GANs) | Analixa
Generative Adversarial Networks are used to generate images that never existed before. They learn about the world (objects, animals and so forth) an…
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Hi, all! Thanks for your work on such a project
I wonder if the image restoration capabilities can be extended to adversarial noise purification as well, similar to the year old Nvidia's DiffPure h…
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Hi, authors. Thank you for your efforts for safe AIGC and your creative work. But I have some issues with the experiments in the paper.
1. Do the experiments for attacking open-source models (Sec. …
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I encountered an error while trying to run the ART_attack.py script for my YOLOv5 object detection model. The error message reads:
The code:
```python
model = torch.hub.load('ultralytics/yolov5', '…
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Images not loading on PyPI page https://pypi.org/project/adversarial-insight-ml/
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Hi.
First of all, I want to thank you for the excellent work you have done in developing such a great project.
I've encountered some rather strange color changes in the image palette after coloring …
iG8R updated
3 months ago
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Hello, congratulations on your outstanding work! I have been exploring the transferability of the adversarial images generated using your method, but I encountered some performance issues.
## Setti…
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hello,Is this code associated with the paper——Generating steganographic images via adversarial
training? Why can't I find the Bob network? thank you.^_^
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Hi Indu,
Thank you for your wonderful work! This work is quite interesting to me and I think the results are amazing. However, I was confused when I tried applying this method to my own dataset. I …
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A clear and concise description of what the problem is.
Yes, Image Super-Resolution (ISR) is directly related to solving specific…