About me
I am a Ph.D. student at the National University of Singapore’s School of Computing working under the supervision of Reza Shokri. My research interests are in the privacy and fairness of machine learning, federated learning.
Publications
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On The Impact of Machine Learning Randomness on Group Fairness
Prakhar Ganesh, Hongyan Chang, Martin Strobel, Reza Shokri
ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2023. (Best Paper Award)
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Bias Propagation in Federated Learning
Hongyan Chang, Reza Shokri
International Conference on Learning Representations (ICLR), 2023
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On the Privacy Risks of Algorithmic Fairness
Hongyan Chang, Reza Shokri
IEEE European Symposium on Security and Privacy
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On Adversarial Bias and the Robustness of Fair Machine Learning
Hongyan Chang, Ta Duy Nguyen, Sasi Kumar Murakonda, Ehsan Kazemi, Reza Shokri
ArXiv preprint
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Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer
Hongyan Chang^, Virat Shejwalkar^, Reza Shokri, Amir Houmansadr
NeurIPS 2021, New Frontier in Federated Learning