Progress with Adversarial Attacks part2(Machine Learning)
Robust Contrastive Language-Image Pretraining against Adversarial Attacks(arXiv) Author : Wenhan Yang, Baharan Mirzasoleiman Abstract : Contrastive vision-language representation learning has achieved state-of-the-art performance for zero-shot classification, by learning from millions of image-caption pairs crawled from the internet. However, the massive data that powers large multimodal models such as CLIP, makes…
Progress with Adversarial Attacks part2(Machine Learning) Robust Contrastive Language-Image Pretraining against Adversarial Attacks(arXiv) Author : Wenhan Yang, Baharan Mirzasoleiman Abstract : Contrastive vision-language representation learning has achieved state-of-the-art performance for zero-shot classification, by learning from millions of image-caption pairs crawled from the internet. However, the massive data that powers large multimodal models such as CLIP, makes… machine-learning
Progress Adversarial Attacks part2Machine Learning Robust Contrastive LanguageImage Pretraining Adversarial AttacksarXiv Author Wenhan Yang Baharan Mirzasoleiman Abstract Contrastive visionlanguage representation learning achieved stateoftheart performance zeroshot classification learning million imagecaption pair crawled internet However massive data power large multimodal model CLIP makes… machinelearning