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evaluate-attacks

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0.1.1

evaluate_attacks-0.1.1-py3-none-any.whl

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Project:	evaluate-attacks
Version:	0.1.1
Filename:	evaluate_attacks-0.1.1-py3-none-any.whl
Download:	[link]
Size:	2591
MD5:	`31a9a99462f5ebafd14687511997c434`
SHA256:	`3413941495a25adeaff93a6320a3e701c87b7cee27f0eb84ef560a88bdbaf627`
Uploaded:	2024-07-23 08:17:14 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	evaluate-attacks
Version:	0.1.1
Summary:	A package for evaluating adversarial attacks on deep learning models
Author:	Sahbaaz Ansari
Author-Email:	mlsecadversarialattack[at]gmail.com
Home-Page:	https://github.com/Cyberus-MLSec/eval_adv_attack
Requires-Dist:	torch
Requires-Dist:	torchattacks
Requires-Dist:	matplotlib
Requires-Dist:	numpy
Description-Content-Type:	text/markdown

[Description omitted; length: 149 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.43.0)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
evaluate_attacks/__init__.py	sha256=u45vK12_xdgisuaHNPmE9V21b4CgWrPhlhDjuj1x9hU	74
evaluate_attacks/attack_eval.py	sha256=vfAICDrWTMu46FNlJQQrzZs9Y5VmmoZmgXEi4Ybu1v4	3883
evaluate_attacks-0.1.1.dist-info/METADATA	sha256=Y0fs2yxBGFmP4aBAzj8yF70J9ukGSFdL695tqh3mNRc	554
evaluate_attacks-0.1.1.dist-info/WHEEL	sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ	92
evaluate_attacks-0.1.1.dist-info/top_level.txt	sha256=hVCFQ1GLftFsFtba96voTxIePuKMwuUv7MWdtzo8Yi0	17
evaluate_attacks-0.1.1.dist-info/RECORD	—	—

top_level.txt

evaluate_attacks