4 citations · 4 across the 5 of their papers we have counts for
5 papers
From Firewalls to Frontiers: AI Red-Teaming is a Domain-Specific Evolution of Cyber Red-Teaming
Anusha Sinha, Keltin Grimes, James Lucassen +4
A red team simulates adversary attacks to help defenders find effective strategies to defend their systems in a real-world operational setting. As more enterprise systems adopt AI,…
Just Label the Repeats for In-The-Wild Audio-to-Score Alignment
Irmak Bukey, Michael Feffer, Chris Donahue
We propose an efficient workflow for high-quality offline alignment of in-the-wild performance audio and corresponding sheet music scans (images). Recent work on audio-to-score ali…
Red-Teaming for Generative AI: Silver Bullet or Security Theater?
Michael Feffer, Anusha Sinha, Wesley Hanwen Deng +2
In response to rising concerns surrounding the safety, security, and trustworthiness of Generative AI (GenAI) models, practitioners and regulators alike have pointed to AI red-team…
The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements
Michael Feffer, Nikolas Martelaro, Hoda Heidari
Prior work has established the importance of integrating AI ethics topics into computer and data sciences curricula. We provide evidence suggesting that one of the critical objecti…
Moral Machine or Tyranny of the Majority?
Michael Feffer, Hoda Heidari, Zachary C. Lipton
With Artificial Intelligence systems increasingly applied in consequential domains, researchers have begun to ask how these systems ought to act in ethically charged situations whe…