62 citations · 151 across the 25 of their papers we have counts for
4 papers · 1 filter
InstaHide's Sample Complexity When Mixing Two Private Images
Baihe Huang, Zhao Song, Runzhou Tao +3
Training neural networks usually require large numbers of sensitive training data, and how to protect the privacy of training data has thus become a critical topic in deep learning…
Hyperbolic Concentration, Anti-concentration, and Discrepancy
Zhao Song, Ruizhe Zhang
Chernoff bound is a fundamental tool in theoretical computer science. It has been extensively used in randomized algorithm design and stochastic type analysis. Discrepancy theory,…
QED driven QAOA for network-flow optimization
Yuxuan Zhang, Ruizhe Zhang, Andrew C. Potter
We present a general framework for modifying quantum approximate optimization algorithms (QAOA) to solve constrained network flow problems. By exploiting an analogy between flow co…
New Approaches for Quantum Copy-Protection
Scott Aaronson, Jiahui Liu, Qipeng Liu +2
Quantum copy protection uses the unclonability of quantum states to construct quantum software that provably cannot be pirated. Copy protection would be immensely useful, but unfor…