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Mani Bastani Parizi

dblp:125/1951 · DBLP profile ↗
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5ranked-venue papers
3as first author
0since 2021 · last 2017
0000-0003-4238-3137ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 2 first-authorSystems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 1Theory of computation · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Information theory · 77% Coding theory · 23%
Network and information security
1 paper
Cryptographic primitives and cryptanalysis · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory › information-theoretic security
secrecy exponent
0.312017
Exact Random Coding Secrecy Exponents for the Wiretap Channel · IEEE Trans. Inf. Theory 2017
Information theory › information-theoretic security
wiretap channel
0.312017
Exact Random Coding Secrecy Exponents for the Wiretap Channel · IEEE Trans. Inf. Theory 2017
Cryptographic primitives and cryptanalysis
information-theoretic security
0.112017
Exact Random Coding Secrecy Exponents for the Wiretap Channel · IEEE Trans. Inf. Theory 2017
Coding theory › error-correcting codes › constant-weight codes
constant-composition codes
0.112017
Exact Random Coding Secrecy Exponents for the Wiretap Channel · IEEE Trans. Inf. Theory 2017
Coding theory › channel coding
random coding
0.112017
Exact Random Coding Secrecy Exponents for the Wiretap Channel · IEEE Trans. Inf. Theory 2017

Methods — techniques the papers use, named apart from their topics

random coding · 0.6constant-composition coding · 0.6
YearPublicationVenuePosition
2017 Exact Random Coding Secrecy Exponents for the Wiretap Channel
abstract
We analyze the exact exponential decay rate of the expected amount of information leaked to the wiretapper in Wyner's wiretap channel setting using wiretap channel codes constructed from both i.i.d. and constant-composition random codes. Our analysis for those sampled from i.i.d. random coding ensemble shows that the previously known achievable secrecy exponent using this ensemble is indeed the exact exponent for an average code in the ensemble. Furthermore, our analysis on wiretap channel codes constructed from the ensemble of constant-composition random codes leads to an exponent which, in addition to being the exact exponent for an average code, is larger than the achievable secrecy exponent that has been established so far in the literature for this ensemble (which in turn was known to be smaller than that achievable by wiretap channel codes sampled from i.i.d. random coding ensemble). We show examples where the exact secrecy exponent for the wiretap channel codes constructed from random constant-composition codes is larger than that of those constructed from i.i.d. random codes and examples where the exact secrecy exponent for the wiretap channel codes constructed from i.i.d. random codes is larger than that of those constructed from constant-composition random codes. We, hence, conclude that, unlike the error correction problem, there is no general ordering between the two random coding ensembles in terms of their secrecy exponent.
Mani Bastani Parizi, Emre Telatar, Neri Merhav
IEEE Trans. Inf. Theory1
2016 Exact random coding secrecy exponents for the wiretap channel
abstract
We analyze the exact exponential decay rate of the expected amount of information leaked to the wiretapper in Wyner's wiretap channel setting using wiretap channel codes constructed from both i.i.d. and constant-composition random codes. Our analysis for those sampled from i.i.d. random coding ensemble shows that the previously-known achievable secrecy exponent using this ensemble is indeed the exact exponent for an average code in the ensemble. Furthermore, our analysis on wiretap channel codes constructed from the ensemble of constant-composition random codes leads to an exponent which, in addition to being the exact exponent for an average code, is larger than the achievable secrecy exponent that has been established so far in the literature for this ensemble (which in turn was known to be smaller than that achievable by wiretap channel codes sampled from i.i.d. random coding ensemble). We also show examples where the exact secrecy exponent for the wiretap channel codes constructed from random constant-composition codes is larger than that of those constructed from i.i.d. random codes.
Mani Bastani Parizi, Emre Telatar, Neri Merhav
ISIT1
2015 On metric sorting for successive cancellation list decoding of polar codes
abstract
We focus on the metric sorter unit of successive cancellation list decoders for polar codes, which lies on the critical path in all current hardware implementations of the decoder. We review existing metric sorter architectures and we propose two new architectures that exploit the structure of the path metrics in a log-likelihood ratio based formulation of successive cancellation list decoding. Our synthesis results show that, for the list size of L = 32, our first proposed sorter is 14% faster and 45% smaller than existing sorters, while for smaller list sizes, our second sorter has a higher delay in return for up to 36% reduction in the area.
Alexios Balatsoukas-Stimming, Mani Bastani Parizi, Andreas Peter Burg
ISCAS2
2014 LLR-based successive cancellation list decoding of polar codes
abstract
We present an LLR-based implementation of the successive cancellation list (SCL) decoder. To this end, we associate each decoding path with a metric which (i) is a monotone function of the path's likelihood and (ii) can be computed efficiently from the channel LLRs. The LLR-based formulation leads to a more efficient hardware implementation of the decoder compared to the known log-likelihood based implementation. Synthesis results for an SCL decoder with block-length of N = 1024 and list sizes of L = 2 and L = 4 confirm that the LLR-based decoder has considerable area and operating frequency advantages in the orders of 50% and 30%, respectively.
Alexios Balatsoukas-Stimming, Mani Bastani Parizi, Andreas Peter Burg
ICASSP2
2013 On the correlation between polarized BECs
abstract
We consider the 2nchannels synthesized by the n-fold application of Arıkan's polar transform to a binary erasure channel (BEC). The synthetic channels are BECs themselves, and we show that, asymptotically for almost all these channels, the pairwise correlations between their erasure events are extremely small: the correlation coefficients vanish faster than any exponential in n. Such a fast decay of correlations allows us to conclude that the union bound on the block error probability of polar codes is very tight.
Mani Bastani Parizi, Emre Telatar
ISIT1