Scanning Trojaned Models Using Out-of-Distribution Samples

Hossein Mirzaei, Ali Ansari, B. Nia, Mojtaba Nafez, Moein Madadi +8 more
2/3/2026

No official code found. Best implementation: rohban-lab/TRODO (6 stars, last commit 2025-02-18). 1 more below.

Semantic Scholar

Code Implementations(2)

rohban-lab/TRODOCommunity63%

Official PyTorch implementation of "Scanning Trojaned Models Using Out-of-Distribution Samples" (NeurIPS 2024)

61Shell, PythonOct 31, 20241 years ago
adversarial-attacksbackdoor-attacksbackdoor-detectionout-of-distribution-dectection
Allliance/TRODOCommunity62%

Official PyTorch implementation of "Scanning Trojaned Models Using Out-of-Distribution Samples" (NeurIPS 2024)

00Shell, PythonOct 26, 20241 years ago
adversarial-attacksbackdoor-detectionout-of-distribution-generalizationtrustworthy-ai

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Cite this paper

@article{mirzaei2026scanning,
  title  = {Scanning Trojaned Models Using Out-of-Distribution Samples},
  author = {Hossein Mirzaei and Ali Ansari and B. Nia and Mojtaba Nafez and Moein Madadi and Sepehr Rezaee and Z. Taghavi and Arad Maleki and Kian Shamsaie and Mahdi Hajialilue and Jafar Habibi and Mohammad Sabokrou and M. H. Rohban},
  year   = {2026},
  url    = {https://www.semanticscholar.org/paper/2049ef428a9157b354c0e92ad90e4043010f40b7},
  journal = {NEURIPS 2024 2024}
}

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