Skip to main content

A tool for benchmarking adversarial robustness of pixel-wise prediction tasks.

Reason this release was yanked:

Non-ideal documentation

Project description

The author of this package has not provided a project description

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cospgd-0.1.0.tar.gz (5.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cospgd-0.1.0-py2.py3-none-any.whl (5.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file cospgd-0.1.0.tar.gz.

File metadata

  • Download URL: cospgd-0.1.0.tar.gz
  • Upload date:
  • Size: 5.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for cospgd-0.1.0.tar.gz
Algorithm Hash digest
SHA256 55a53b580aff97b53d9ea8c9f5be2760a777b49f2e05a719efbac446f8f4ae70
MD5 63967ba2debd0463851b6e76388cd858
BLAKE2b-256 2a09fa5ba77bccb3c77bbf0949432437ebb4039c8ff5045caf8e18b9b8127568

See more details on using hashes here.

File details

Details for the file cospgd-0.1.0-py2.py3-none-any.whl.

File metadata

  • Download URL: cospgd-0.1.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 5.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for cospgd-0.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 0dd302f5131213d1170373a2ed7858af70d802d8dbf725820bb3e0e2393baed1
MD5 420baceed582d15089542cb7e168e790
BLAKE2b-256 7f8aea0359fffe3ae1bf2dd164ca6f9bb7268b57a06ace8e4f1ca2b420b01566

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page