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Electronic Colloquium on Computational Complexity

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REPORTS > AUTHORS > KAI-MIN CHUNG:
All reports by Author Kai-Min Chung:

TR20-090 | 10th June 2020
Kai-Min Chung, Siyao Guo, Qipeng Liu, Luowen Qian

Tight Quantum Time-Space Tradeoffs for Function Inversion

Revisions: 1

In function inversion, we are given a function $f: [N] \mapsto [N]$, and want to prepare some advice of size $S$, such that we can efficiently invert any image in time $T$. This is a well studied problem with profound connections to cryptography, data structures, communication complexity, and circuit lower ... more >>>


TR14-149 | 10th November 2014
Kai-Min Chung, Xin Li, Xiaodi Wu

Multi-Source Randomness Extractors Against Quantum Side Information, and their Applications

We study the problem of constructing multi-source extractors in the quantum setting, which extract almost uniform random bits against quantum side information collected from several initially independent classical random sources. This is a natural generalization of seeded randomness extraction against quantum side information and classical independent source extraction. With new ... more >>>


TR09-109 | 3rd November 2009
Kai-Min Chung, Feng-Hao Liu

Tight Parallel Repetition Theorems for Public-coin Arguments

Following Hastad, Pass, Pietrzak, and Wikstrom (2008), we study parallel repetition theorems for public-coin interactive arguments and their generalization. We obtain the following results:

1. We show that the reduction of Hastad et al. actually gives a tight direct product theorem for public-coin interactive arguments. That is, $n$-fold parallel repetition ... more >>>


TR07-030 | 29th March 2007
Kai-Min Chung, Omer Reingold, Salil Vadhan

S-T Connectivity on Digraphs with a Known Stationary Distribution

We present a deterministic logspace algorithm for solving s-t connectivity on directed graphs if (i) we are given a stationary distribution for random walk on the graph and (ii) the random walk which starts at the source vertex $s$ has polynomial mixing time. This result generalizes the recent deterministic logspace ... more >>>




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