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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

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evaluate_attacks/attack_eval.py sha256=vfAICDrWTMu46FNlJQQrzZs9Y5VmmoZmgXEi4Ybu1v4 3883
evaluate_attacks-0.1.1.dist-info/METADATA sha256=Y0fs2yxBGFmP4aBAzj8yF70J9ukGSFdL695tqh3mNRc 554
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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