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Large Language Models (LLMs) have been garnering significant attention of AI researchers, especially following the widespread popularity of ChatGPT.
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Gao, J., Lanchantin, J., Soffa, M. L., and Qi, Y. Black-box generation of adversarial text sequences to evade deep learning classifiers. In 2018 IEEE Security and Privacy Workshops (SPW) (pp. 50-56). IEEE. 2018, May
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Adelani, David Ifeoluwa, Haotian Mai, Fuming Fang, Huy H. Nguyen, Junichi Yamagishi, and Isao Echizen. Generating sentiment-preserving fake online reviews using neural language models and their human-and machine-based detection. In Advanced Information Networking and Applications: Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA-2020), pp. 1341-1354. Springer International Publishing, 2020
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Lee, D., Yu, S., and Yu, H. Multi-class data description for out-of-distribution detection. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 1362-1370, 2020, August
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Ouyang, T., Marco, V. S., Isobe, Y., Asoh, H., Oiwa, Y., and Seo, Y. Improved Surprise Adequacy Tools for Corner Case Data Description and Detection. Applied Sciences, 11(15), 6826, 2021
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