Ram Shankar Siva Kumar

According to our database, Ram Shankar Siva Kumar authored at least 14 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI System.

Gary D. Lopez Munoz, Amanda J. Minnich, Roman Lutz, Richard Lundeen, Raja Sekhar Rao Dheekonda, Nina Chikanov, Bolor-Erdene Jagdagdorj, Martin Pouliot, Shiven Chawla, Whitney Maxwell, Blake Bullwinkel, Katherine Pratt, Joris de Gruyter, Charlotte Siska, Pete Bryan, Tori Westerhoff, Chang Kawaguchi, Christian Seifert, Ram Shankar Siva Kumar, Yonatan Zunger

CoRR, 2024

Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle.

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 J. 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

CoRR, 2024

The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing.

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

Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 2024

2023

Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and Legal Implications.

Micah Musser, Andrew Lohn, James X. Dempsey, Jonathan M. 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

CoRR, 2023

2021

Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks.

Kendra Albert, Maggie K. Delano, Bogdan Kulynych, Ram Shankar Siva Kumar

CoRR, 2021

2020

Ethical Testing in the Real World: Evaluating Physical Testing of Adversarial Machine Learning.

Kendra Albert, Maggie K. Delano, Jonathon Penney, Afsaneh Rigot, Ram Shankar Siva Kumar

CoRR, 2020

Legal Risks of Adversarial Machine Learning Research.

Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, Kendra Albert

CoRR, 2020

Politics of Adversarial Machine Learning.

Kendra Albert, Jonathon Penney, Bruce Schneier, Ram Shankar Siva Kumar

CoRR, 2020

Adversarial Machine Learning-Industry Perspectives.

Ram Shankar Siva Kumar, Magnus Nyström, John Lambert, Andrew Marshall, Mario Goertzel, Andi Comissoneru, Matt Swann, Sharon Xia

Proceedings of the 2020 IEEE Security and Privacy Workshops, 2020

2019

Failure Modes in Machine Learning Systems.

Ram Shankar Siva Kumar, David R. O'Brien, Kendra Albert, Salomé Viljöen, Jeffrey Snover

CoRR, 2019

2018

Law and Adversarial Machine Learning.

Ram Shankar Siva Kumar, David R. O'Brien, Kendra Albert, Salome Vilojen

CoRR, 2018

2017

Hardening Quantum Machine Learning Against Adversaries.

Nathan Wiebe, Ram Shankar Siva Kumar

CoRR, 2017

Practical Machine Learning for Cloud Intrusion Detection: Challenges and the Way Forward.

Ram Shankar Siva Kumar, Andrew Wicker, Matt Swann

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017

2012

S-SPAN: Secure smart posters in Android using NFC.

Jason Wu, Lin Qi, Ram Shankar Siva Kumar, Nishant Kumar, Patrick Tague

Proceedings of the 2012 IEEE International Symposium on a World of Wireless, 2012