| Red-Teaming for Generative AI: Silver Bullet or Security Theater? M Feffer, A Sinha, WH Deng, ZC Lipton, H Heidari arXiv preprint arXiv:2401.15897, 2024 | 42 | 2024 |
| Moral machine or Tyranny of the majority? M Feffer, H Heidari, ZC Lipton Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 5974-5982, 2023 | 24 | 2023 |
| A mixture of personalized experts for human affect estimation M Feffer, O Rudovic, RW Picard Machine Learning and Data Mining in Pattern Recognition: 14th International …, 2018 | 24 | 2018 |
| From preference elicitation to participatory ML: A critical survey & guidelines for future research M Feffer, M Skirpan, Z Lipton, H Heidari Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 38-48, 2023 | 22 | 2023 |
| The AI incident database as an educational tool to raise awareness of AI harms: A classroom exploration of efficacy, limitations, & future improvements M Feffer, N Martelaro, H Heidari Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023 | 17 | 2023 |
| An empirical study of modular bias mitigators and ensembles M Feffer, M Hirzel, SC Hoffman, K Kate, P Ram, A Shinnar arXiv preprint arXiv:2202.00751, 2022 | 9 | 2022 |
| Wesley Hanwen Deng, Zachary C M Feffer, A Sinha Lipton, and Hoda Heidari. Red-Teaming for Generative AI: Silver Bullet or …, 2024 | 6 | 2024 |
| DeepDrake ft. BTS-GAN and TayloRVC: An Exploratory Analysis of Musical Deepfakes and Hosting Platforms. M Feffer, ZC Lipton, C Donahue HCMIR@ ISMIR, 2023 | 5 | 2023 |
| A suite of fairness datasets for tabular classification M Hirzel, M Feffer arXiv preprint arXiv:2308.00133, 2023 | 3 | 2023 |
| Assistive alignment of in-the-wild sheet music and performances M Feffer, C Donahue, Z Lipton Proceedings of the 23rd International Society for Music Information …, 2022 | 2 | 2022 |
| Navigating Ensemble Configurations for Algorithmic Fairness M Feffer, M Hirzel, SC Hoffman, K Kate, P Ram, A Shinnar arXiv preprint arXiv:2210.05594, 2022 | 2 | 2022 |
| Prompt Exploration with Prompt Regression M Feffer, R Xu, Y Sun, M Yurochkin arXiv preprint arXiv:2405.11083, 2024 | 1 | 2024 |
| Searching for fairer machine learning ensembles M Feffer, M Hirzel, SC Hoffman, K Kate, P Ram, A Shinnar International Conference on Automated Machine Learning, 17/1-19, 2023 | 1 | 2023 |
| DAMAGeR: Deploying Automatic and Manual Approaches to GenAI Red-teaming M Nagireddy, M Feffer, IB Soares AAAI Conference on Artificial Intelligence, 2025 | | 2025 |
| Just Label the Repeats for In-The-Wild Audio-to-Score Alignment I Bukey, M Feffer, C Donahue arXiv preprint arXiv:2411.07428, 2024 | | 2024 |
| Sound Check: Auditing Audio Datasets W Agnew, J Barnett, A Chu, R Hong, M Feffer, R Netzorg, HH Jiang, ... arXiv preprint arXiv:2410.13114, 2024 | | 2024 |
| Predicting food insecurity M Feffer, P Kapoor, S Dodt | | 2021 |
| Personalized machine learning for facial expression analysis MA Feffer Massachusetts Institute of Technology, 2018 | | 2018 |
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgeVerifisert e-postadresse på cmu.edu
