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Electronic Colloquium on Computational Complexity

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All reports by Author Jyun-Jie Liao:

TR21-075 | 4th June 2021
Eshan Chattopadhyay, Jesse Goodman, Jyun-Jie Liao

Affine Extractors for Almost Logarithmic Entropy

We give an explicit construction of an affine extractor (over $\mathbb{F}_2$) that works for affine sources on $n$ bits with min-entropy $k \ge~ \log n \cdot (\log \log n)^{1 + o(1)}$. This improves prior work of Li (FOCS'16) that requires min-entropy at least $\mathrm{poly}(\log n)$.

Our construction is ... more >>>

TR20-069 | 4th May 2020
Eshan Chattopadhyay, Jyun-Jie Liao

Optimal Error Pseudodistributions for Read-Once Branching Programs

Revisions: 1

In a seminal work, Nisan (Combinatorica'92) constructed a pseudorandom generator for length $n$ and width $w$ read-once branching programs with seed length $O(\log n\cdot \log(nw)+\log n\cdot\log(1/\varepsilon))$ and error $\varepsilon$. It remains a central question to reduce the seed length to $O(\log (nw/\varepsilon))$, which would prove that $\mathbf{BPL}=\mathbf{L}$. However, there has ... more >>>

TR20-023 | 10th February 2020
Marshall Ball, Eshan Chattopadhyay, Jyun-Jie Liao, Tal Malkin, Li-Yang Tan

Non-Malleability against Polynomial Tampering

Revisions: 1

We present the first explicit construction of a non-malleable code that can handle tampering functions that are bounded-degree polynomials.

Prior to our work, this was only known for degree-1 polynomials (affine tampering functions), due to Chattopadhyay and Li (STOC 2017). As a direct corollary, we obtain an explicit non-malleable ... more >>>

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