Skip to main content

Adversarial Noise

Project description

Introduce adversarial noise into an input image to trick an image classification model into misclassifying it as the desired target class.

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

AdNoise-0.0.3.tar.gz (5.0 kB view details)

Uploaded Source

Built Distribution

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

AdNoise-0.0.3-py3-none-any.whl (4.8 kB view details)

Uploaded Python 3

File details

Details for the file AdNoise-0.0.3.tar.gz.

File metadata

  • Download URL: AdNoise-0.0.3.tar.gz
  • Upload date:
  • Size: 5.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.4

File hashes

Hashes for AdNoise-0.0.3.tar.gz
Algorithm Hash digest
SHA256 79ca420f00f468b617d965f70922e1270aef6dbaa9bec987817fdbf886662c2b
MD5 f37e687f1a2ea0eab520ca4b52891801
BLAKE2b-256 26ddbdc888a5c4f3b14a2116678f783e4390d7d4885db1a4c84e6627aad15e71

See more details on using hashes here.

File details

Details for the file AdNoise-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: AdNoise-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 4.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.4

File hashes

Hashes for AdNoise-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 d4f93e304d5a36ca6cfe7f203c6b1f238b830696ee643dbb6135ae58511ec6cb
MD5 5354f59010866864be4a0d42472a2eb6
BLAKE2b-256 f81a0343210b8436404245fb829d3bf66dfa6ae2b654fbf2ef41c6ba68e565b0

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