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Electronic Colloquium on Computational Complexity

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TR15-057 | 13th April 2015
Anup Rao, Makrand Sinha

Simplified Separation of Information and Communication

Revisions: 3

We give an example of a boolean function whose information complexity is exponentially
smaller than its communication complexity. Our result simplifies recent work of Ganor, Kol and
Raz (FOCS'14, STOC'15).

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TR15-056 | 3rd April 2015
Sanjam Garg, Steve Lu, Rafail Ostrovsky

Black-Box Garbled RAM

Garbled RAM, introduced by Lu and Ostrovsky, enables the task of garbling a RAM (Random Access Machine) program directly, there by avoiding the inefficient process of first converting it into a circuit. Garbled RAM can be seen as a RAM analogue of Yao's garbled circuit construction, except that known realizations ... more >>>


TR15-055 | 13th April 2015
Sivaramakrishnan Natarajan Ramamoorthy, Anup Rao

How to Compress Asymmetric Communication

We study the relationship between communication and information in 2-party communication protocols when the information is asymmetric. If $I^A$ denotes the number of bits of information revealed by the first party, $I^B$ denotes the information revealed by the second party, and $C$ is the number of bits of communication in ... more >>>



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