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rathull/robust-pdf-malware

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ECE 117: Computer Security. "Attacks and Defenses on PDF Malware Detection". Adversarial examples for vision-based malware detection, and robust classification via fine-tuning on limited data.

active 2024-02-25 → 2024-12-20 (UTC)

Complete coverage28,180 / 28,180 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-01 (UTC)
Events
49
Pushes
28
Pull requests
10
Issues
0
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 300 days from 2024-02-25 to 2024-12-20. Pushes: 28 total, peak 6 in a day. Pull requests: 10 total, peak 6 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
rathull261880
theamandawang10820
neilk13172100
gwjm1100

Recent activity

Latest issues, pull requests and releases

  • Pull request#5theamandawang2024-03-17 06:29
  • Pull request#5theamandawang2024-03-17 06:27
  • Pull request#4rathull2024-03-17 04:39
  • Pull request#4rathull2024-03-17 04:39
  • Pull request#3rathull2024-03-17 04:25
  • Pull request#3rathull2024-03-17 04:25
  • Pull request#2rathull2024-03-06 09:38
  • Pull request#2rathull2024-03-06 09:38
  • Pull request#1rathull2024-03-05 18:14
  • Pull request#1rathull2024-03-05 18:13

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.