{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T14:31:30Z","timestamp":1763389890653,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,11,18]],"date-time":"2024-11-18T00:00:00Z","timestamp":1731888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Institute of Information & Communications Technology Planning & Evaluation (IITP) of the Korea government (MSIT)","award":["RS-2024-00418784"],"award-info":[{"award-number":["RS-2024-00418784"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,11,18]]},"DOI":"10.1145\/3696348.3696894","type":"proceedings-article","created":{"date-parts":[[2024,11,11]],"date-time":"2024-11-11T00:20:52Z","timestamp":1731284452000},"page":"60-67","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Toward Trustworthy Learning-Enabled Systems with Concept-Based Explanations"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-6122-2705","authenticated-orcid":false,"given":"Sagar","family":"Patel","sequence":"first","affiliation":[{"name":"University of California, Irvine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6922-7244","authenticated-orcid":false,"given":"Dongsu","family":"Han","sequence":"additional","affiliation":[{"name":"KAIST"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5181-4560","authenticated-orcid":false,"given":"Nina","family":"Narodystka","sequence":"additional","affiliation":[{"name":"VMware Research by Broadcom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0503-4478","authenticated-orcid":false,"given":"Sangeetha Abdu","family":"Jyothi","sequence":"additional","affiliation":[{"name":"University of California, Irvine, VMware Research by Broadcom"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,11,18]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"[n.d.]. Amazon Mechanical Turk. https:\/\/www.mturk.com\/. (Accessed on 06\/16\/2024)."},{"key":"e_1_3_2_1_2_1","unstructured":"[n. d.]. Hello GPT-4o | OpenAI. https:\/\/openai.com\/index\/hello-gpt-4o\/. (Accessed on 06\/26\/2024)."},{"key":"e_1_3_2_1_3_1","unstructured":"[n.d.]. New embedding models and API updates | OpenAI. https:\/\/openai.com\/index\/new-embedding-models-and-api-updates\/. (Accessed on 06\/17\/2024)."},{"key":"e_1_3_2_1_4_1","unstructured":"[n.d.]. Puffer. https:\/\/puffer.stanford.edu\/results\/. (Accessed on 04\/20\/2022)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3387514.3405892"},{"key":"e_1_3_2_1_6_1","volume-title":"Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al.","author":"Achiam Josh","year":"2023","unstructured":"Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2862938"},{"key":"e_1_3_2_1_8_1","unstructured":"Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020) 1877--1901."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3230543.3230551"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3548606.3560609"},{"key":"e_1_3_2_1_11_1","volume-title":"International conference on machine learning. PMLR, 3050--3059","author":"Jay Nathan","year":"2019","unstructured":"Nathan Jay, Noga Rotman, Brighten Godfrey, Michael Schapira, and Aviv Tamar. 2019. A deep reinforcement learning perspective on internet congestion control. In International conference on machine learning. PMLR, 3050--3059."},{"key":"e_1_3_2_1_12_1","volume-title":"International conference on machine learning. PMLR, 5338--5348","author":"Koh Pang Wei","year":"2020","unstructured":"Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, and Percy Liang. 2020. Concept bottleneck models. In International conference on machine learning. PMLR, 5338--5348."},{"key":"e_1_3_2_1_13_1","first-page":"I","article-title":"A Unified Approach to Interpreting Model Predictions","volume":"30","author":"Lundberg Scott M","year":"2017","unstructured":"Scott M Lundberg and Su-In Lee. 2017. A Unified Approach to Interpreting Model Predictions. In Advances in Neural Information Processing Systems 30, I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.). Curran Associates, Inc., 4765--4774. http:\/\/papers.nips.cc\/paper\/7062-a-unified-approach-to-interpreting-model-predictions.pdf","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3098822.3098843"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3387514.3405859"},{"key":"e_1_3_2_1_16_1","volume-title":"Sangeetha Abdu Jyothi, and Nina Narodytska","author":"Patel Sagar","year":"2023","unstructured":"Sagar Patel, Junyang Zhang, Sangeetha Abdu Jyothi, and Nina Narodytska. 2023. Plume: A Framework for High Performance Deep RL Network Controllers via Prioritized Trace Sampling. arXiv preprint arXiv:2302.12403 (2023)."},{"key":"e_1_3_2_1_17_1","volume-title":"International conference on machine learning. PMLR, 8748--8763","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. 2021. Learning transferable visual models from natural language supervision. In International conference on machine learning. PMLR, 8748--8763."},{"key":"e_1_3_2_1_18_1","volume-title":"International conference on machine learning. Pmlr, 8821--8831","author":"Ramesh Aditya","year":"2021","unstructured":"Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever. 2021. Zero-shot text-to-image generation. In International conference on machine learning. Pmlr, 8821--8831."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3098051"},{"key":"e_1_3_2_1_21_1","volume-title":"20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23)","author":"Song Zhenyu","year":"2023","unstructured":"Zhenyu Song, Kevin Chen, Nikhil Sarda, Deniz Altinb\u00fcken, Eugene Brevdo, Jimmy Coleman, Xiao Ju, Pawel Jurczyk, Richard Schooler, and Ramki Gummadi. 2023. {HALP}: Heuristic aided learned preference eviction policy for {YouTube} content delivery network. In 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23). 1149--1163."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2020.2996964"},{"key":"e_1_3_2_1_23_1","unstructured":"Gemini Team Rohan Anil Sebastian Borgeaud Yonghui Wu Jean-Baptiste Alayrac Jiahui Yu Radu Soricut Johan Schalkwyk Andrew M Dai Anja Hauth et al. 2023. Gemini: a family of highly capable multimodal models. arXiv preprint arXiv:2312.11805 (2023)."},{"key":"e_1_3_2_1_24_1","volume-title":"Text embeddings by weakly-supervised contrastive pre-training. arXiv preprint arXiv:2212.03533","author":"Wang Liang","year":"2022","unstructured":"Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, and Furu Wei. 2022. Text embeddings by weakly-supervised contrastive pre-training. arXiv preprint arXiv:2212.03533 (2022)."},{"key":"e_1_3_2_1_25_1","volume-title":"17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20)","author":"Yan Francis Y","year":"2020","unstructured":"Francis Y Yan, Hudson Ayers, Chenzhi Zhu, Sadjad Fouladi, James Hong, Keyi Zhang, Philip Levis, and Keith Winstein. 2020. Learning in situ: a randomized experiment in video streaming. In 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20). 495--511."},{"key":"e_1_3_2_1_26_1","volume-title":"2018 USENIX Annual Technical Conference (USENIX ATC 18)","author":"Yan Francis Y","year":"2018","unstructured":"Francis Y Yan, Jestin Ma, Greg D Hill, Deepti Raghavan, Riad S Wahby, Philip Levis, and Keith Winstein. 2018. Pantheon: the training ground for Internet congestion-control research. In 2018 USENIX Annual Technical Conference (USENIX ATC 18). 731--743."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01839"},{"key":"e_1_3_2_1_28_1","volume-title":"Post-hoc concept bottleneck models. arXiv preprint arXiv:2205.15480","author":"Yuksekgonul Mert","year":"2022","unstructured":"Mert Yuksekgonul, Maggie Wang, and James Zou. 2022. Post-hoc concept bottleneck models. arXiv preprint arXiv:2205.15480 (2022)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3445814.3446693"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00503.x"}],"event":{"name":"HotNets '24: The 23rd ACM Workshop on Hot Topics in Networks","sponsor":["SIGCOMM ACM Special Interest Group on Data Communication"],"location":"Irvine CA USA","acronym":"HotNets '24"},"container-title":["Proceedings of the 23rd ACM Workshop on Hot Topics in Networks"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696348.3696894","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3696348.3696894","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T16:06:38Z","timestamp":1755878798000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696348.3696894"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,18]]},"references-count":30,"alternative-id":["10.1145\/3696348.3696894","10.1145\/3696348"],"URL":"https:\/\/doi.org\/10.1145\/3696348.3696894","relation":{},"subject":[],"published":{"date-parts":[[2024,11,18]]},"assertion":[{"value":"2024-11-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}