Michael Feffer

18 papers A* 1C 1Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
From Firewalls to Frontiers: AI Red-Teaming is a Domain-Specific Evolution of Cyber Red-Teaming.
CoRR
Anusha Sinha, Keltin Grimes, James Lucassen, Michael Feffer, Nathan M. VanHoudnos, Zhiwei Steven Wu, Hoda Heidari
2024 J jnl
Just Label the Repeats for In-The-Wild Audio-to-Score Alignment.
CoRR
Irmak Bukey, Michael Feffer, Chris Donahue
2024 — conf
Just Label the Repeats for In-the-Wild Audio-to-Score Alignment.
ISMIR
Irmak Bukey, Michael Feffer, Chris Donahue
2024 J jnl
Prompt Exploration with Prompt Regression.
CoRR
Michael Feffer, Ronald Xu, Yuekai Sun, Mikhail Yurochkin
2024 — conf
Red-Teaming for Generative AI: Silver Bullet or Security Theater?
AIES (1)
Michael Feffer, Anusha Sinha, Wesley H. Deng, Zachary C. Lipton, Hoda Heidari
2024 J jnl
Red-Teaming for Generative AI: Silver Bullet or Security Theater?
CoRR
Michael Feffer, Anusha Sinha, Zachary C. Lipton, Hoda Heidari
2024 J jnl
Sound Check: Auditing Audio Datasets.
CoRR
William Agnew, Julia Barnett, Annie Chu, Rachel Hong, Michael Feffer, Robin Netzorg, Harry H. Jiang, Ezra Awumey, Sauvik Das
2023 J jnl
A Suite of Fairness Datasets for Tabular Classification.
CoRR
Martin Hirzel, Michael Feffer
2023 — conf
DeepDrake ft. BTS-GAN and TayloRVC: An Exploratory Analysis of Musical Deepfakes and Hosting Platforms.
HCMIR@ISMIR
Michael Feffer, Zachary C. Lipton, Chris Donahue
2023 C conf
From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research.
AIES
Michael Feffer, Michael Skirpan, Zachary C. Lipton, Hoda Heidari
2023 A* conf
Moral Machine or Tyranny of the Majority?
AAAI
Michael Feffer, Hoda Heidari, Zachary C. Lipton
2023 J jnl
Moral Machine or Tyranny of the Majority?
CoRR
Michael Feffer, Hoda Heidari, Zachary C. Lipton
2023 — conf
Searching for Fairer Machine Learning Ensembles.
AutoML
Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar
2023 — conf
The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements.
EAAMO
Michael Feffer, Nikolas Martelaro, Hoda Heidari
2023 J jnl
The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements.
CoRR
Michael Feffer, Nikolas Martelaro, Hoda Heidari
2022 J jnl
An Empirical Study of Modular Bias Mitigators and Ensembles.
CoRR
Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar
2022 J jnl
Navigating Ensemble Configurations for Algorithmic Fairness.
CoRR
Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar
2018 — conf
A Mixture of Personalized Experts for Human Affect Estimation.
MLDM (2)
Michael Feffer, Ognjen (Oggi) Rudovic, Rosalind W. Picard