Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers
- Natalia Martinez Gil
- Martin Bertran
- et al.
- 2024
- AISTATS 2024
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85 results for Fairness, Accountability, Transparency
Manifold-Aligned Counterfactual Explanations for Neural Networks
- Georgia Perakis
- Wei Sun
- et al.
- 2024
- AISTATS 2024
Designing for Agonism: 12 Workers’ Perspectives on Contesting Technology Futures
- Felicia Jing
- Sara Berger
- et al.
- 2024
- CSCW 2024
Adversarial Robustness of Convolutional Models Learned in the Frequency Domain
- SUBHAJIT CHAUDHURY
- Toshihiko Yamasaki
- 2024
- ICASSP 2024
Creating an African American-Sounding TTS: Guidelines, Technical Challenges, and Surprising Evaluations
- Claudio Santos Pinhanez
- Raul Fernandez
- et al.
- 2024
- IUI 2024
Adversarial Auditing of Machine Learning Models under Compound Shift
- Karan Bhanot
- Dennis Wei
- et al.
- 2023
- ESANN 2023
Balancing Social Impact, Opportunities, and Ethical Constraints of Using AI in the Documentation and Vitalization of Indigenous Languages
- 2023
- IJCAI 2023
Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities
- Karan Bhanot
- Ioana Baldini
- et al.
- 2023
- AIES 2023
Making Business Partner Recommendation More Effective: Impacts of Combining Recommenders and Explanations through User Feedback
- Öznur Alkan
- Massimiliano Mattetti
- et al.
- 2021
- ACMIUI-WS 2021
Reliable, Fair and Decentralized Marketplace for Content Sharing Using Blockchain
- Prabal Banerjee
- Chander Govindarajan
- et al.
- 2020
- Blockchain 2020