Zobrazeno 1 - 10
of 478
pro vyhledávání: '"Shankar, Siva"'
Autor:
Munoz, Gary D. Lopez, Minnich, Amanda J., Lutz, Roman, Lundeen, Richard, Dheekonda, Raja Sekhar Rao, Chikanov, Nina, Jagdagdorj, Bolor-Erdene, Pouliot, Martin, Chawla, Shiven, Maxwell, Whitney, Bullwinkel, Blake, Pratt, Katherine, de Gruyter, Joris, Siska, Charlotte, Bryan, Pete, Westerhoff, Tori, Kawaguchi, Chang, Seifert, Christian, Kumar, Ram Shankar Siva, Zunger, Yonatan
Generative Artificial Intelligence (GenAI) is becoming ubiquitous in our daily lives. The increase in computational power and data availability has led to a proliferation of both single- and multi-modal models. As the GenAI ecosystem matures, the nee
Externí odkaz:
http://arxiv.org/abs/2410.02828
Autor:
Haider, Emman, Perez-Becker, Daniel, Portet, Thomas, Madan, Piyush, Garg, Amit, Ashfaq, Atabak, Majercak, David, Wen, Wen, Kim, Dongwoo, Yang, Ziyi, Zhang, Jianwen, Sharma, Hiteshi, Bullwinkel, Blake, Pouliot, Martin, Minnich, Amanda, Chawla, Shiven, Herrera, Solianna, Warreth, Shahed, Engler, Maggie, Lopez, Gary, Chikanov, Nina, Dheekonda, Raja Sekhar Rao, Jagdagdorj, Bolor-Erdene, Lutz, Roman, Lundeen, Richard, Westerhoff, Tori, Bryan, Pete, Seifert, Christian, Kumar, Ram Shankar Siva, Berkley, Andrew, Kessler, Alex
Recent innovations in language model training have demonstrated that it is possible to create highly performant models that are small enough to run on a smartphone. As these models are deployed in an increasing number of domains, it is critical to en
Externí odkaz:
http://arxiv.org/abs/2407.13833
Autor:
Zhang, Alice Qian, Shaw, Ryland, Anthis, Jacy Reese, Milton, Ashlee, Tseng, Emily, Suh, Jina, Ahmad, Lama, Kumar, Ram Shankar Siva, Posada, Julian, Shestakofsky, Benjamin, Roberts, Sarah T., Gray, Mary L.
Rapid progress in general-purpose AI has sparked significant interest in "red teaming," a practice of adversarial testing originating in military and cybersecurity applications. AI red teaming raises many questions about the human factor, such as how
Externí odkaz:
http://arxiv.org/abs/2407.07786
Autor:
Musser, Micah, Lohn, Andrew, Dempsey, James X., Spring, Jonathan, Kumar, Ram Shankar Siva, Leong, Brenda, Liaghati, Christina, Martinez, Cindy, Grant, Crystal D., Rohrer, Daniel, Frase, Heather, Elliott, Jonathan, Bansemer, John, Rodriguez, Mikel, Regan, Mitt, Chowdhury, Rumman, Hermanek, Stefan
In July 2022, the Center for Security and Emerging Technology (CSET) at Georgetown University and the Program on Geopolitics, Technology, and Governance at the Stanford Cyber Policy Center convened a workshop of experts to examine the relationship be
Externí odkaz:
http://arxiv.org/abs/2305.14553
Autor:
Joseph Sia, Criselle D’Souza, Rebecca Castle, Yu-Kuan Huang, Han Xian Aw Yeang, Rejhan Idrizi, Metta Jana, Shankar Siva, Claire Phillips, Paul Neeson
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 49, Iss , Pp 100863- (2024)
Background: Stereotactic radiosurgery (SRS) is highly effective as focal treatment for brain metastases (BrMs), but whether it can promote anti-tumour immune responses that synergise with immunotherapy remains unclear. We investigated this by examini
Externí odkaz:
https://doaj.org/article/30a38bb90d33446c89408e9b93413d29
Autor:
Andrea Lancia, Gianluca Ingrosso, Beatrice Detti, Eleonora Festa, Elisabetta Bonzano, Flavia Linguanti, Federico Camilli, Niccolò Bertini, Salvatore La Mattina, Carolina Orsatti, Giulio Francolini, Elisabetta Maria Abenavoli, Lorenzo Livi, Cynthia Aristei, Dorine de Jong, Karine A. Al Feghali, Shankar Siva, Carlotta Becherini
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
The therapeutic landscape of metastatic prostate cancer has undergone a profound revolution in recent years. In addition to the introduction of novel molecules in the clinics, the field has witnessed a tremendous development of functional imaging mod
Externí odkaz:
https://doaj.org/article/4601032046324b4ca2ee1ab20f0a5052
Autor:
Muhammad Ali, Kendrick Koo, David Chang, Phil Chan, Sheng F. Oon, Daniel Moon, Declan G. Murphy, Renu Eapen, Jeremy Goad, Nathan Lawrentschuk, Arun A. Azad, Sarat Chander, Mark Shaw, Nicholas Hardcastle, Shankar Siva
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-9 (2024)
Abstract Background Stereotactic ablative body radiotherapy (SABR) is an emerging treatment for patients with primary renal cell carcinoma (RCC). However, its impact on renal function is unclear. This study aimed to evaluate incidence and clinical fa
Externí odkaz:
https://doaj.org/article/08cdee63f1d54833baeea559c883b2c1
Attacks from adversarial machine learning (ML) have the potential to be used "for good": they can be used to run counter to the existing power structures within ML, creating breathing space for those who would otherwise be the targets of surveillance
Externí odkaz:
http://arxiv.org/abs/2107.10302
Autor:
David, Chang, Muhammad, Ali, Cristian, Udovicich, Ben, Tran, Arun, Azad, Lewis, Au, Lavinia, Spain, Marlon, Perera, Shankar, Siva
Publikováno v:
In Clinical and Translational Radiation Oncology March 2024 45
This paper critically assesses the adequacy and representativeness of physical domain testing for various adversarial machine learning (ML) attacks against computer vision systems involving human subjects. Many papers that deploy such attacks charact
Externí odkaz:
http://arxiv.org/abs/2012.02048