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AI 안전 (Korean Wikipedia)

Analysis of information sources in references of the Wikipedia article "AI 안전" in Korean language version.

refsWebsite
Global rank Korean rank
29arxiv.org
69th place
54th place
13doi.org
2nd place
3rd place
9web.archive.org
1st place
1st place
5nih.gov
4th place
4th place
4worldcat.org
5th place
11th place
2nature.com
234th place
148th place
1jair.org
low place
low place
1aiimpacts.org
low place
low place
1openai.com
1,559th place
711th place
1georgetown.edu
2,318th place
7,086th place
1cnn.com
28th place
89th place
1wiley.com
222nd place
164th place
1harvard.edu
18th place
27th place
1distill.pub
low place
low place
1colah.github.io
low place
low place

aiimpacts.org (Global: low place; Korean: low place)

arxiv.org (Global: 69th place; Korean: 54th place)

  • Grace, Katja; Salvatier, John; Dafoe, Allan; Zhang, Baobao; Evans, Owain (2018년 7월 31일). “Viewpoint: When Will AI Exceed Human Performance? Evidence from AI Experts”. 《Journal of Artificial Intelligence Research》 62: 729–754. arXiv:1705.08807. doi:10.1613/jair.1.11222. ISSN 1076-9757. 2023년 2월 10일에 원본 문서에서 보존된 문서. 2022년 11월 28일에 확인함. 
  • Zhang, Baobao; Anderljung, Markus; Kahn, Lauren; Dreksler, Noemi; Horowitz, Michael C.; Dafoe, Allan (2021년 5월 5일). “Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers”. 《Journal of Artificial Intelligence Research》 71. arXiv:2105.02117. doi:10.1613/jair.1.12895. 
  • Michael, Julian; Holtzman, Ari; Parrish, Alicia; Mueller, Aaron; Wang, Alex; Chen, Angelica; Madaan, Divyam; Nangia, Nikita; Pang, Richard Yuanzhe (2022년 8월 26일). “What Do NLP Researchers Believe? Results of the NLP Community Metasurvey”. 《Association for Computational Linguistics》. arXiv:2208.12852. 
  • Szegedy, Christian; Zaremba, Wojciech; Sutskever, Ilya; Bruna, Joan; Erhan, Dumitru; Goodfellow, Ian; Fergus, Rob (2014년 2월 19일). “Intriguing properties of neural networks”. 《ICLR》. arXiv:1312.6199. 
  • Kurakin, Alexey; Goodfellow, Ian; Bengio, Samy (2017년 2월 10일). “Adversarial examples in the physical world”. 《ICLR》. arXiv:1607.02533. 
  • Madry, Aleksander; Makelov, Aleksandar; Schmidt, Ludwig; Tsipras, Dimitris; Vladu, Adrian (2019년 9월 4일). “Towards Deep Learning Models Resistant to Adversarial Attacks”. 《ICLR》. arXiv:1706.06083. 
  • Kannan, Harini; Kurakin, Alexey; Goodfellow, Ian (2018년 3월 16일). “Adversarial Logit Pairing”. arXiv:1803.06373. 
  • Szegedy, Christian; Zaremba, Wojciech; Sutskever, Ilya; Bruna, Joan; Erhan, Dumitru; Goodfellow, Ian; Fergus, Rob (2014년 2월 19일). “Intriguing properties of neural networks”. 《ICLR》. arXiv:1312.6199. 
  • Gilmer, Justin; Adams, Ryan P.; Goodfellow, Ian; Andersen, David; Dahl, George E. (2018년 7월 19일). “Motivating the Rules of the Game for Adversarial Example Research”. arXiv:1807.06732. 
  • Carlini, Nicholas; Wagner, David (2018년 3월 29일). “Audio Adversarial Examples: Targeted Attacks on Speech-to-Text”. 《IEEE Security and Privacy Workshops》. arXiv:1801.01944. 
  • Sheatsley, Ryan; Papernot, Nicolas; Weisman, Michael; Verma, Gunjan; McDaniel, Patrick (2022년 9월 9일). “Adversarial Examples in Constrained Domains”. arXiv:2011.01183. 
  • Suciu, Octavian; Coull, Scott E.; Johns, Jeffrey (2019년 4월 13일). “Exploring Adversarial Examples in Malware Detection”. 《IEEE Security and Privacy Workshops》. arXiv:1810.08280. 
  • Ouyang, Long; Wu, Jeff; Jiang, Xu; Almeida, Diogo; Wainwright, Carroll L.; Mishkin, Pamela; Zhang, Chong; Agarwal, Sandhini; Slama, Katarina (2022년 3월 4일). “Training language models to follow instructions with human feedback”. 《NeurIPS》. arXiv:2203.02155. 
  • Gao, Leo; Schulman, John; Hilton, Jacob (2022년 10월 19일). “Scaling Laws for Reward Model Overoptimization”. 《ICML》. arXiv:2210.10760. 
  • Yu, Sihyun; Ahn, Sungsoo; Song, Le; Shin, Jinwoo (2021년 10월 27일). “RoMA: Robust Model Adaptation for Offline Model-based Optimization”. 《NeurIPS》. arXiv:2110.14188. 
  • Hendrycks, Dan; Mazeika, Mantas (2022년 9월 20일). “X-Risk Analysis for AI Research”. arXiv:2206.05862. 
  • Ovadia, Yaniv; Fertig, Emily; Ren, Jie; Nado, Zachary; Sculley, D.; Nowozin, Sebastian; Dillon, Joshua V.; Lakshminarayanan, Balaji; Snoek, Jasper (2019년 12월 17일). “Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift”. 《NeurIPS》. arXiv:1906.02530. 
  • Bogdoll, Daniel; Breitenstein, Jasmin; Heidecker, Florian; Bieshaar, Maarten; Sick, Bernhard; Fingscheidt, Tim; Zöllner, J. Marius (2021). 〈Description of Corner Cases in Automated Driving: Goals and Challenges〉. 《2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)》. 1023–1028쪽. arXiv:2109.09607. doi:10.1109/ICCVW54120.2021.00119. ISBN 978-1-6654-0191-3. 
  • Hendrycks, Dan; Mazeika, Mantas; Dietterich, Thomas (2019년 1월 28일). “Deep Anomaly Detection with Outlier Exposure”. 《ICLR》. arXiv:1812.04606. 
  • Wang, Haoqi; Li, Zhizhong; Feng, Litong; Zhang, Wayne (2022년 3월 21일). “ViM: Out-Of-Distribution with Virtual-logit Matching”. 《CVPR》. arXiv:2203.10807. 
  • Hendrycks, Dan; Gimpel, Kevin (2018년 10월 3일). “A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks”. 《ICLR》. arXiv:1610.02136. 
  • Doshi-Velez, Finale; Kortz, Mason; Budish, Ryan; Bavitz, Chris; Gershman, Sam; O'Brien, David; Scott, Kate; Schieber, Stuart; Waldo, James (2019년 12월 20일). “Accountability of AI Under the Law: The Role of Explanation”. arXiv:1711.01134. 
  • Fong, Ruth; Vedaldi, Andrea (2017). 〈Interpretable Explanations of Black Boxes by Meaningful Perturbation〉. 《2017 IEEE International Conference on Computer Vision (ICCV)》. 3449–3457쪽. arXiv:1704.03296. doi:10.1109/ICCV.2017.371. ISBN 978-1-5386-1032-9. 
  • Meng, Kevin; Bau, David; Andonian, Alex; Belinkov, Yonatan (2022). “Locating and editing factual associations in GPT”. 《Advances in Neural Information Processing Systems》 35. arXiv:2202.05262. 
  • Bau, David; Liu, Steven; Wang, Tongzhou; Zhu, Jun-Yan; Torralba, Antonio (2020년 7월 30일). “Rewriting a Deep Generative Model”. 《ECCV》. arXiv:2007.15646. 
  • Räuker, Tilman; Ho, Anson; Casper, Stephen; Hadfield-Menell, Dylan (2022년 9월 5일). “Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks”. 《IEEE SaTML》. arXiv:2207.13243. 
  • Bau, David; Zhou, Bolei; Khosla, Aditya; Oliva, Aude; Torralba, Antonio (2017년 4월 19일). “Network Dissection: Quantifying Interpretability of Deep Visual Representations”. 《CVPR》. arXiv:1704.05796. 
  • McGrath, Thomas; Kapishnikov, Andrei; Tomašev, Nenad; Pearce, Adam; Wattenberg, Martin; Hassabis, Demis; Kim, Been; Paquet, Ulrich; Kramnik, Vladimir (2022년 11월 22일). “Acquisition of chess knowledge in AlphaZero” (영어). 《Proceedings of the National Academy of Sciences》 119 (47): e2206625119. arXiv:2111.09259. Bibcode:2022PNAS..11906625M. doi:10.1073/pnas.2206625119. ISSN 0027-8424. PMC 9704706. PMID 36375061. 
  • Olsson, Catherine; Elhage, Nelson; Nanda, Neel; Joseph, Nicholas; DasSarma, Nova; Henighan, Tom; Mann, Ben; Askell, Amanda; Bai, Yuntao (2022). “In-context learning and induction heads”. 《Transformer Circuits Thread》. arXiv:2209.11895. 

cnn.com (Global: 28th place; Korean: 89th place)

money.cnn.com

colah.github.io (Global: low place; Korean: low place)

distill.pub (Global: low place; Korean: low place)

doi.org (Global: 2nd place; Korean: 3rd place)

dx.doi.org

georgetown.edu (Global: 2,318th place; Korean: 7,086th place)

cset.georgetown.edu

harvard.edu (Global: 18th place; Korean: 27th place)

adsabs.harvard.edu

jair.org (Global: low place; Korean: low place)

nature.com (Global: 234th place; Korean: 148th place)

nih.gov (Global: 4th place; Korean: 4th place)

ncbi.nlm.nih.gov

openai.com (Global: 1,559th place; Korean: 711th place)

web.archive.org (Global: 1st place; Korean: 1st place)

wiley.com (Global: 222nd place; Korean: 164th place)

onlinelibrary.wiley.com

worldcat.org (Global: 5th place; Korean: 11th place)