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Toward Reusability of AI Models Using Dynamic Updates of AI Documentation Autoría: Bajcsy, Peter, Keyrouz, Walid

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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Trojans in Artificial Intelligence (TrojAI) Final Report Autoría: Reese, Kristopher W., Kulp-McDowall, Taylor, Majurski, Michael, Blattner, Tim, Juba, Derek, Bajcsy, Peter, Cardone, Antonio, Dessauw, Philippe, Dima, Alden, Kearsley, Anthony J., Kleczynski, Melinda, Vasanth, Joel, Keyrouz, Walid, Ashcraft, Chace, Fendley, Neil, Staley, Ted, Stout, Trevor, Carney, Josh, Canal, Greg, Redman, Will, Schmidt, Aurora, Hickert, Cameron, Paul, William, Markowitz, Jared, Drenkow, Nathan, Shriver, David, Connor, Marissa, Grimes, Keltin, Christiani, Marco, Moore, Hayden, Widjaja, Jordan, Gabert, Kasimir, Balakrishnan, Uma, Gundimada, Satyanadh, Jacobellis, John, Lakkur, Sandya, Leung, Vitus, Roose, Jon, Battaglino, Casey, Koushanfar, Farinaz, Fields, Greg, Gu, Xihe, Jandali, Yaman, Zhang, Xinqiao, Javidi, Tara, Vartak, Akash, Oates, Tim, Erichson, Ben, Mahoney, Michael, Izmailov, Rauf, Zhang, Xiangyu, Shen, Guangyu, Cheng, Siyuan, Ma, Shiqing, Wang, XiaoFeng, Tang, Haixu, Tang, Di, Chen, Xiaoyi, Wang, Zihao, Zhu, Rui, Jha, Susmit, Lin, Xiao, Acharya, Manoj, Zhou, Weichao, Fu, Feisi, Kiourti, Panagiota, Wang, Chenyu, Guo, Zijian, Ahmad, H M Sabbir, Li, Wenchao, Chen, Chao

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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