S-SPAN: Secure smart posters in Android using NFC. - Jason Wu; Lin Qi; Ram Shankar Siva Kumar; Nishant Kumar; Patrick Tague (WOWMOM, 2012)

Practical Machine Learning for Cloud Intrusion Detection: Challenges and the Way Forward. - Ram Shankar Siva Kumar; Andrew Wicker; Matt Swann (AISec@CCS, 2017)

Hardening Quantum Machine Learning Against Adversaries. - Nathan Wiebe; Ram Shankar Siva Kumar (CoRR, 2017)

Law and Adversarial Machine Learning. - Ram Shankar Siva Kumar; David R. O'Brien; Kendra Albert; Salome Vilojen (CoRR, 2018)

Failure Modes in Machine Learning Systems. - Ram Shankar Siva Kumar; David R. O'Brien; Kendra Albert; Salomé Viljöen; Jeffrey Snover (CoRR, 2019)

Adversarial Machine Learning-Industry Perspectives. - Ram Shankar Siva Kumar; Magnus Nyström; John Lambert; Andrew Marshall; Mario Goertzel; Andi Comissoneru; Matt Swann; Sharon Xia (SP (Workshops), 2020)

Politics of Adversarial Machine Learning. - Kendra Albert; Jonathon Penney; Bruce Schneier; 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)

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)

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)

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; et al. (CoRR, 2023)

PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI Systems. - 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; et al. (CAMLIS, 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 (CSCW Companion, 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 006; Ziyi Yang; Jianwen Zhang; Hiteshi Sharma; Blake Bullwinkel; et al. (CoRR, 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; et al. (CoRR, 2024)

Lessons From Red Teaming 100 Generative AI Products. - 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; et al. (CoRR, 2025)

A Representation Engineering Perspective on the Effectiveness of Multi-Turn Jailbreaks. - Blake Bullwinkel; Mark Russinovich; Ahmed Salem 001; Santiago Zanella-Béguelin; Daniel Jones; Giorgio Severi; Eugenia Kim; Keegan Hines; Amanda J. Minnich; Yonatan Zunger; Ram Shankar Siva Kumar (CoRR, 2025)