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==== May 2022 ==== | ==== May 2022 ==== | ||
=== Papers accepted === | === Papers accepted === | ||
- | Breaking Fair Binary Classification with Optimal Flipping Attacks | + | *Breaking Fair Binary Classification with Optimal Flipping Attacks |
C. Jo, J. Sohn, and K. Lee | C. Jo, J. Sohn, and K. Lee | ||
ISIT 2022 | ISIT 2022 | ||
- | Debiasing Pre-Trained Language Models via Efficient Fine-tuning | + | *Debiasing Pre-Trained Language Models via Efficient Fine-tuning |
M. Gira, R. Zhang, and K. Lee | M. Gira, R. Zhang, and K. Lee | ||
ACL Workshop on Language Technology for Equality, Diversity, Inclusion 2022 | ACL Workshop on Language Technology for Equality, Diversity, Inclusion 2022 | ||
- | Federated Unsupervised Clustering with Generative Models | + | *Federated Unsupervised Clustering with Generative Models |
J. Chung, K. Lee, and K. Ramchandran | J. Chung, K. Lee, and K. Ramchandran | ||
AAAI Workshop on Federated Learning 2022 | AAAI Workshop on Federated Learning 2022 | ||
- | Improving Fairness via Federated Learning | + | *Improving Fairness via Federated Learning |
Y. Zeng, H. Chen, and K. Lee | Y. Zeng, H. Chen, and K. Lee | ||
AAAI Workshop on Federated Learning 2022 | AAAI Workshop on Federated Learning 2022 |