Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data

Wenxi Lv, Qinliang Su, Hai Wan, Hongteng Xu, Wenchao Xu

2/12/2026

No official code found. Best implementation: Vanssssry/CR-GAN (1 star, MIT, last commit 2024-10-28).

Code Implementations(1)

MIT

Official implement of ICML 2024 "Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data"

10Shell, PythonMay 28, 20241 years agoMIT

Cite this paper

@article{lv2026contaminationresilient,
  title  = {Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data},
  author = {Wenxi Lv and Qinliang Su and Hai Wan and Hongteng Xu and Wenchao Xu},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:9c46a89661a56b40a9205533e0e18e8ebf5a1b69},
  journal = {ICML 2024 2024}
}

Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data

Code Implementations(1)

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