Adversarial Machine Learning-Industry Perspectives
Siva Kumar, Ram Shankar, Nystrom, Magnus, Lambert, John, Marshall, Andrew, Goertzel, Mario, Comissoneru, Andi, Swann, Matt, Xia, Sharon
Published in 2020 IEEE Security and Privacy Workshops (SPW) (01.05.2020)
Published in 2020 IEEE Security and Privacy Workshops (SPW) (01.05.2020)
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Conference Proceeding
The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing
Alice Qian Zhang, Shaw, Ryland, Jacy Reese Anthis, Milton, Ashlee, Tseng, Emily, Suh, Jina, Ahmad, Lama, Ram Shankar Siva Kumar, Posada, Julian, Shestakofsky, Benjamin, Roberts, Sarah T, Gray, Mary L
Published in arXiv.org (11.09.2024)
Published in arXiv.org (11.09.2024)
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Paper
Journal Article
Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and Legal Implications
Musser, Micah, Lohn, Andrew, Dempsey, James X, Spring, Jonathan, Ram Shankar Siva Kumar, 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
Published in arXiv.org (23.05.2023)
Published in arXiv.org (23.05.2023)
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Paper
Journal Article
Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks
Albert, Kendra, Delano, Maggie, Kulynych, Bogdan, Kumar, Ram Shankar Siva
Year of Publication 11.07.2021
Year of Publication 11.07.2021
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Journal Article
Legal Risks of Adversarial Machine Learning Research
Kumar, Ram Shankar Siva, Penney, Jonathon, Schneier, Bruce, Albert, Kendra
Year of Publication 29.06.2020
Year of Publication 29.06.2020
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Journal Article
Politics of Adversarial Machine Learning
Albert, Kendra, Penney, Jonathon, Schneier, Bruce, Kumar, Ram Shankar Siva
Year of Publication 31.01.2020
Year of Publication 31.01.2020
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Journal Article
PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI System
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
Year of Publication 01.10.2024
Year of Publication 01.10.2024
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Journal Article
Ethical Testing in the Real World: Evaluating Physical Testing of Adversarial Machine Learning
Albert, Kendra, Delano, Maggie, Penney, Jonathon, Rigot, Afsaneh, Kumar, Ram Shankar Siva
Year of Publication 03.12.2020
Year of Publication 03.12.2020
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Journal Article
Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle
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
Year of Publication 18.07.2024
Year of Publication 18.07.2024
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Journal Article
Failure Modes in Machine Learning Systems
Kumar, Ram Shankar Siva, Brien, David O, Albert, Kendra, Viljöen, Salomé, Snover, Jeffrey
Year of Publication 25.11.2019
Year of Publication 25.11.2019
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Journal Article
Adversarial Machine Learning -- Industry Perspectives
Kumar, Ram Shankar Siva, Nyström, Magnus, Lambert, John, Marshall, Andrew, Goertzel, Mario, Comissoneru, Andi, Swann, Matt, Xia, Sharon
Year of Publication 03.02.2020
Year of Publication 03.02.2020
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Journal Article
Law and Adversarial Machine Learning
Kumar, Ram Shankar Siva, O'Brien, David R, Albert, Kendra, Vilojen, Salome
Year of Publication 25.10.2018
Year of Publication 25.10.2018
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Journal Article