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Electronic Colloquium on Computational Complexity

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TR23-080 | 1st June 2023
Halley Goldberg, Valentine Kabanets

Improved Learning from Kolmogorov Complexity

Carmosino, Impagliazzo, Kabanets, and Kolokolova (CCC, 2016) showed that the existence of natural properties in the sense of Razborov and Rudich (JCSS, 1997) implies PAC learning algorithms in the sense of Valiant (Comm. ACM, 1984), for boolean functions in $\P/\poly$, under the uniform distribution and with membership queries. It is ... more >>>


TR23-079 | 31st May 2023
Russell Impagliazzo, Valentine Kabanets, Ilya Volkovich

Mutual Empowerment between Circuit Obfuscation and Circuit Minimization

We study close connections between Indistinguishability Obfuscation ($IO$) and the Minimum Circuit Size Problem ($MCSP$), and argue that algorithms for one of $MCSP$ or $IO$ would empower the other one. Some of our main results are:

\begin{itemize}
\item If there exists a perfect (imperfect) $IO$ that is computationally secure ... more >>>


TR23-078 | 30th May 2023
Or Meir

Toward Better Depth Lower Bounds: A KRW-like theorem for Strong Composition

Revisions: 5

One of the major open problems in complexity theory is proving super-logarithmic lower bounds on the depth of circuits (i.e., $\mathbf{P}\not\subseteq \mathbf{NC}^{1}$). Karchmer, Raz, and Wigderson (Computational Complexity 5(3/4), 1995) suggested to approach this problem by proving that depth complexity of a composition of functions $f \diamond g$ is roughly ... more >>>



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