Ram Shankar Siva Kumar

21 papers C 1Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Trigger in the Haystack: Extracting and Reconstructing LLM Backdoor Triggers.
CoRR
Blake Bullwinkel, Giorgio Severi, Keegan Hines, Amanda J. Minnich, Ram Shankar Siva Kumar, Yonatan Zunger
2025 J jnl
A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks.
CoRR
Blake Bullwinkel, Mark Russinovich, Ahmed Salem, Santiago Zanella-Béguelin, Daniel Jones, Giorgio Severi, Eugenia Kim, Keegan Hines, Amanda J. Minnich, Yonatan Zunger, Ram Shankar Siva Kumar
2025 J jnl
Lessons From Red Teaming 100 Generative AI Products.
CoRR
Blake Bullwinkel, Amanda J. Minnich, Shiven Chawla, Gary Lopez, Martin Pouliot, Whitney Maxwell, Joris de Gruyter, Katherine Pratt, Saphir Qi, Nina Chikanov, Roman Lutz, Raja Sekhar Rao Dheekonda, Bolor-Erdene Jagdagdorj, Eugenia Kim, Justin Song, Keegan Hines, Daniel Jones, Giorgio Severi, Richard Lundeen, Sam Vaughan, Victoria Westerhoff, Pete Bryan, Ram Shankar Siva Kumar, Yonatan Zunger, Chang Kawaguchi, Mark Russinovich
2024 J jnl
Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle.
CoRR
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
2024 J jnl
PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI System.
CoRR
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
2024 — conf
PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI Systems.
CAMLIS
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
2024 — conf
The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing.
CSCW Companion
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
2024 J jnl
The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing.
CoRR
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
2023 J jnl
Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and Legal Implications.
CoRR
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
2021 J jnl
Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks.
CoRR
Kendra Albert, Maggie K. Delano, Bogdan Kulynych, Ram Shankar Siva Kumar
2020 J jnl
Adversarial Machine Learning - Industry Perspectives.
CoRR
Ram Shankar Siva Kumar, Magnus Nyström, John Lambert, Andrew T. Marshall, Mario Goertzel, Andi Comissoneru, Matt Swann, Sharon Xia
2020 — conf
Adversarial Machine Learning-Industry Perspectives.
SP (Workshops)
Ram Shankar Siva Kumar, Magnus Nyström, John Lambert, Andrew T. Marshall, Mario Goertzel, Andi Comissoneru, Matt Swann, Sharon Xia
2020 J jnl
Ethical Testing in the Real World: Evaluating Physical Testing of Adversarial Machine Learning.
CoRR
Kendra Albert, Maggie K. Delano, Jonathon Penney, Afsaneh Rigot, Ram Shankar Siva Kumar
2020 J jnl
Legal Risks of Adversarial Machine Learning Research.
CoRR
Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, Kendra Albert
2020 J jnl
Politics of Adversarial Machine Learning.
CoRR
Kendra Albert, Jonathon Penney, Bruce Schneier, Ram Shankar Siva Kumar
2019 J jnl
Failure Modes in Machine Learning Systems.
CoRR
Ram Shankar Siva Kumar, David R. O'Brien, Kendra Albert, Salomé Viljöen, Jeffrey Snover
2018 J jnl
Law and Adversarial Machine Learning.
CoRR
Ram Shankar Siva Kumar, David R. O'Brien, Kendra Albert, Salome Vilojen
2017 J jnl
Hardening Quantum Machine Learning Against Adversaries.
CoRR
Nathan Wiebe, Ram Shankar Siva Kumar
2017 — conf
Practical Machine Learning for Cloud Intrusion Detection: Challenges and the Way Forward.
AISec@CCS
Ram Shankar Siva Kumar, Andrew Wicker, Matt Swann
2017 J jnl
Practical Machine Learning for Cloud Intrusion Detection: Challenges and the Way Forward.
CoRR
Ram Shankar Siva Kumar, Andrew Wicker, Matt Swann
2012 C conf
S-SPAN: Secure smart posters in Android using NFC.
WOWMOM
Jason Wu, Lin Qi, Ram Shankar Siva Kumar, Nishant Kumar, Patrick Tague