Adversarial Robustness of Convolutional Models Learned in the Frequency Domain
- SUBHAJIT CHAUDHURY
- Toshihiko Yamasaki
- 2024
- ICASSP 2024
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89 results for Fairness, Accountability, Transparency
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
Verifying individual fairness in machine learning models
- Philips George John
- Deepak Vijaykeerthy
- et al.
- 2020
- UAI 2020
Data augmentation for discrimination prevention and bias disambiguation
- Shubham Sharma
- Yunfeng Zhang
- et al.
- 2020
- AIES 2020
Fair enough: Improving fairness in budget-constrained decision making using confidence thresholds
- Michiel A. Bakker
- Humberto Riverón Valdés
- et al.
- 2020
- SafeAI 2020