Ram Shankar Siva Kumar

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 14

Top Topics

Intrusion Detection

Explanation Based Learning

Machine Learning

Top Venues

Publications

Alice Qian Zhang, Ryland Shaw, Jacy Reese Anthis, Ashlee Milton, Emily Tseng, Jina Suh, Lama Ahmad, Ram Shankar Siva Kumar, Julian Posada, Benjamin Shestakofsky, Sarah T. Roberts, Mary L. Gray
The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing. CoRR (2024)
Emman Haider, Daniel Perez-Becker, Thomas Portet, Piyush Madan, Amit Garg, David Majercak, Wen Wen, Dongwoo Kim, Ziyi Yang, Jianwen Zhang, Hiteshi Sharma, Blake Bullwinkel, Martin Pouliot, Amanda Minnich, Shiven Chawla, Solianna Herrera, Shahed Warreth, Maggie Engler, Gary Lopez, Nina Chikanov, Raja Sekhar Rao Dheekonda, Bolor-Erdene Jagdagdorj, Roman Lutz, Richard Lundeen, Tori Westerhoff, Pete Bryan, Christian Seifert, Ram Shankar Siva Kumar, Andrew Berkley, Alex Kessler
Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle. CoRR (2024)
Micah Musser, Andrew Lohn, James X. Dempsey, Jonathan Spring, Ram Shankar Siva Kumar, Brenda Leong, Christina Liaghati, Cindy Martinez, Crystal D. Grant, Daniel Rohrer, Heather Frase, Jonathan Elliott, John Bansemer, Mikel Rodriguez, Mitt Regan, Rumman Chowdhury, Stefan Hermanek
Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and Legal Implications. CoRR (2023)
Kendra Albert, Maggie K. Delano, Bogdan Kulynych, Ram Shankar Siva Kumar
Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks. CoRR (2021)
Kendra Albert, Jonathon Penney, Bruce Schneier, Ram Shankar Siva Kumar
Politics of Adversarial Machine Learning. CoRR (2020)
Ram Shankar Siva Kumar, Magnus Nyström, John Lambert, Andrew Marshall, Mario Goertzel, Andi Comissoneru, Matt Swann, Sharon Xia
Adversarial Machine Learning - Industry Perspectives. CoRR (2020)
Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, Kendra Albert
Legal Risks of Adversarial Machine Learning Research. CoRR (2020)
Kendra Albert, Maggie K. Delano, Jonathon Penney, Afsaneh Rigot, Ram Shankar Siva Kumar
Ethical Testing in the Real World: Evaluating Physical Testing of Adversarial Machine Learning. CoRR (2020)
Ram Shankar Siva Kumar, Magnus Nyström, John Lambert, Andrew Marshall, Mario Goertzel, Andi Comissoneru, Matt Swann, Sharon Xia
Adversarial Machine Learning-Industry Perspectives. SP Workshops (2020)
Ram Shankar Siva Kumar, David R. O'Brien, Kendra Albert, Salomé Viljöen, Jeffrey Snover
Failure Modes in Machine Learning Systems. CoRR (2019)
Ram Shankar Siva Kumar, David R. O'Brien, Kendra Albert, Salome Vilojen
Law and Adversarial Machine Learning. CoRR (2018)
Ram Shankar Siva Kumar, Andrew Wicker, Matt Swann
Practical Machine Learning for Cloud Intrusion Detection: Challenges and the Way Forward. CoRR (2017)
Ram Shankar Siva Kumar, Andrew Wicker, Matt Swann
Practical Machine Learning for Cloud Intrusion Detection: Challenges and the Way Forward. AISec@CCS (2017)
Nathan Wiebe, Ram Shankar Siva Kumar
Hardening Quantum Machine Learning Against Adversaries. CoRR (2017)
Jason Wu, Lin Qi, Ram Shankar Siva Kumar, Nishant Kumar, Patrick Tague
S-SPAN: Secure smart posters in Android using NFC. WOWMOM (2012)