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Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
March 7, 2024, 5:11 a.m. | Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Sediola Ruko, Briland Hitaj, Luigi V. Mancini, Fernando Perez-Cruz
cs.CR updates on arXiv.org arxiv.org
Abstract: Training high-quality deep learning models is a challenging task due to computational and technical requirements. A growing number of individuals, institutions, and companies increasingly rely on pre-trained, third-party models made available in public repositories. These models are often used directly or integrated in product pipelines with no particular precautions, since they are effectively just data in tensor form and considered safe. In this paper, we raise awareness of a new machine learning supply chain threat …
arxiv companies computational cs.ai cs.cr deep learning ecosystem emerging high institutions malware party public quality repositories requirements task technical third third-party threats training trust
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