Yi-Hsiu Chen
Short Bios
I am an applied cryptographer at Coinbase. Previously, I was a research scientist in the Ads Core ML team at Facebook.
I completed my Ph.D. in theoretical cryptography at Harvard University, where I was fortunate to have professor Salil Vadhan as my advisor. Before that, I studied physics at the National Taiwan University and computer science at the Columbia University.
Contact Information
Email: yihsiu@alumni.harvard.edu
Experience
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Research intern at Facebook, Summer 2018
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Teaching fellow of CS225 Pseudorandomness, Fall 2016
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Teaching fellow of CS124 Algorithm, Spring 2017
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Software engineer intern at Rocket Fuel Inc, Spring 2014
Research
My research interests include pseudorandomness and theory in differential privacy. During the visiting at Academia Sinica of Taiwan in 2015-2016, I was hosted by Kai-Min Chung, who lead me into the world of quantum information.
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Dissertation: Computational Notions of Entropy: Classical, Quantum, and Applications (May 2019)
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Mark Bun, Yi-Hsiu Chen, and Salil Vadhan.
Separating Computational and Statistical Differential Privacy in the Client-Server Model
TCC '16-B,
[ePrint]
[slides]
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Yi-Hsiu Chen, Kai-Min Chung, Ching-Yi Lai, Salil Vadhan, and Xiaodi Wu.
Computational Notions of Quantum Min-Entropy
[arXiv]
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Yi-Hsiu Chen, Kai-Min Chung, and Jyun-Jie Liao.
On the Complexity of Simulating Auxiliary Input
EUROCRYPT '18,
[ePrint]
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Yi-Hsiu Chen, Mika Göös, Salil Vadhan, and Jiapeng Zhang.
A Tight Lower Bound for Entropy Flattening
CCC '18
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Rohit Agrawal, Yi-Hsiu Chen, Thibaut Horel, and Salil Vadhan.
Unifying Computational Entropies via Kullback–Leibler Divergence
CRYPTO'19, [eprint]
