Analyzing the Quality Attributes of AI Vision Models in Open Repositories Under Adversarial Attacks

arXiv:2401.12261v2 Announce Type: replace
Abstract: As AI models rapidly evolve, they are frequently released to open repositories, such as HuggingFace. It is essential to perform quality assurance validation on these models before integrating them into the production development lifecycle. In addition to evaluating efficiency in terms of balanced accuracy and computing costs, adversarial attacks are potential threats to the robustness and explainability of AI models. Meanwhile, XAI applies algorithms that approximate inputs to outputs post-hoc to identify the contributing features. …

addition adversarial adversarial attacks ai models arxiv assurance attacks attributes cs.ai cs.cr development efficiency huggingface lifecycle production quality repositories terms under validation