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For evasive whitebox or blackbox attacks, the objective of each attack is to fool the model to predict a different class but making it deceptive by making small changes, these changes are measured in …
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Implement tests, especially for similarity measures.
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By: Alina Lazar, Sarah Ritchey, Bonita Sharif
Department of Computer Science and Information Systems
Youngstown State University
Youngstown, Ohio USA 44555
alazar@ysu.edu, sritchey@student.ysu.edu, bs…
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At @related-sciences, we created a Python library called [nxontology](https://github.com/related-sciences/nxontology) for computing intrinsic semantic similarity between pairs of nodes in an ontology.…
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### Area(s)
area:gen-ai , llm
### Is your change request related to a problem? Please describe.
> **NOTE**: narrowed down the list of fields in https://github.com/open-telemetry/semantic-conv…
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Implement methods listed in as similarity module https://vlachosgroup.github.io/AIMSim/implemented_metrics.html. Please add detailed documentation to show which similarity functions is corresponding t…
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Just noting that this function to create neighbourhood land cover-based weights uses `dist()` with default options. This is a Euclidean distance measure that is potentially inappropriate for very spar…
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I use the code in the `README.md (Zero-Shot Prediction)` to test the acc of ViT/B-32 on the CIFAR100 dataset and get the result of about 62% by top1 similarity. It is less than that in the paper (65.1…
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This should be easy and does not require additional download of data
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`from PyUMLS_Similarity import PyUMLS_Similarity`
`mysql_info = {}`
`mysql_info = {
"username": "username",
"password": "password",
"hostname": "10.33.3.45",
"socket": "MYSQL",…