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cs.LG2023★ 2 cited
Machine Learning Model Attribution Challenge
Elizabeth Merkhofer, Deepesh Chaudhari, Hyrum S. Anderson +3
We present the findings of the Machine Learning Model Attribution Challenge. Fine-tuned machine learning models may derive from other trained models without obvious attribution cha…
cs.LG2021
Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks
Marissa Dotter, Sherry Xie, Keith Manville +3
Machine Learning (ML) models are known to be vulnerable to adversarial inputs and researchers have demonstrated that even production systems, such as self-driving cars and ML-as-a-…