Skip to main content

Adversarial Examples

Create adversarial images that make a neural network misclassify them.

Metadata

Release files for adversarial-examples 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for adversarial-examples 0.1.1
File Size Uploaded Provenance
adversarial_examples-0.1.1.tar.gz 3.4 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for adversarial-examples 0.1.1
File Interpreter ABI Platform
adversarial_examples-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 7.7 kB

Release files / adversarial_examples-0.1.1.tar.gz

Download URL adversarial_examples-0.1.1.tar.gz
Size 3.4 kB
Tags Source
SHA-256 checksum
How to use checksums
3865e5fdc9de015a7c6d2b6b00c9eb0a9b1f5f5a5639774bb14c4805b8d26aab
BLAKE2b-256 checksum
How to use checksums
71dfac2b362111510a2cffb4e822382b0772c17308f8150641bd7fd27154b7b3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.2

Release files / adversarial_examples-0.1.1-py3-none-any.whl

Download URL adversarial_examples-0.1.1-py3-none-any.whl
Size 4.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
fc0fd365b667281a28e6ce2d7fdd44779479c9376cb63ab2720627fbd5054818
BLAKE2b-256 checksum
How to use checksums
65c80baa244602bad626c6741f1f637c3998a8ec31f45511eb4700e9cbdda025
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.2

Security for adversarial-examples 0.1.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.1.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page