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The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
conference contribution
posted on 2024-11-20, 03:22 authored by N Li, A Pan, A Gopal, S Yue, D Berrios, A Gatti, JD Li, AK Dombrowski, S Goel, G Mukobi, N Helm-Burger, R Lababidi, L Justen, AB Liu, M Chen, I Barrass, O Zhang, X Zhu, R Tamirisa, B Bharathi, A Herbert-Voss, CB Breuer, A Zou, M Mazeika, Z Wang, P Oswal, W Lin, AA Hunt, J Tienken-Harder, KY Shih, K Talley, J Guan, I Steneker, D Campbell, B Jokubaitis, S Basart, S Fitz, P Kumaraguru, KK Karmakar, U Tupakula, V Varadharajan, Y Shoshitaishvili, J Ba, KM Esvelt, A Wang, D HendrycksThe WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
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Volume
235Pagination
1-26Location
Vienna, AustriaOpen access
- No
Start date
2024-07-21End date
2024-07-27eISSN
2640-3498Language
engPublication classification
E1.1 Full written paper - refereedTitle of proceedings
PMLR 2024 : Proceedings of the 41st International Conference on Machine LearningEvent
Machine Learning. Conference (2024 : 41st : Vienna, Austria)Publisher
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