EDBT 2026 Demo / reviewers in the wild / expert
Laif Swanson
dblp:55/2831
· DBLP profile ↗
7ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 3Computer networks · 2Security and privacy · 2
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
6 papers |
Coding theory · 68% Information theory · 28% Logic in computer science · 4% | |
| Computer networks
2 papers |
Physical-layer communications · 84% Internet architecture and protocols · 16% | |
| Network and information security
1 paper |
Cryptographic protocols and secure computation · 100% |
Topics — the 21 heaviest of 22, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › channel modeling › gaussian channel
AWGN channel |
0.0 | 1 | 1992 | Performance of binary block codes at low signal-to-noise ratios · IEEE Trans. Inf. Theory 1992 |
Coding theory › error-correcting codes › block codes
binary block codes |
0.0 | 1 | 1992 | Performance of binary block codes at low signal-to-noise ratios · IEEE Trans. Inf. Theory 1992 |
Coding theory › error-correcting codes
block codes |
0.0 | 1 | 1992 | Performance of binary block codes at low signal-to-noise ratios · IEEE Trans. Inf. Theory 1992 |
Coding theory › multiuser coding
broadcast channel coding |
0.0 | 1 | 1987 | A Note on the Wide-Band Gaussian Broadcast Channel · IEEE Trans. Commun. 1987 |
Information theory
channel capacity |
0.0 | 1 | 1987 | A Note on the Wide-Band Gaussian Broadcast Channel · IEEE Trans. Commun. 1987 |
Information theory › network information theory › broadcast channel
gaussian broadcast channel |
0.0 | 1 | 1987 | A Note on the Wide-Band Gaussian Broadcast Channel · IEEE Trans. Commun. 1987 |
Information theory
time-sharing |
0.0 | 1 | 1987 | A Note on the Wide-Band Gaussian Broadcast Channel · IEEE Trans. Commun. 1987 |
Coding theory › error-correcting codes › error probability analysis
decoding error probability |
0.0 | 1 | 1986 | On the decoder error probability for Reed-Solomon codes · IEEE Trans. Inf. Theory 1986 |
Information theory › information measures › entropy
entropy minimization |
0.0 | 1 | 1986 | An entropy maximization problem related to optical communication · IEEE Trans. Inf. Theory 1986 |
Coding theory
error-correcting codes |
0.0 | 1 | 1986 | On the decoder error probability for Reed-Solomon codes · IEEE Trans. Inf. Theory 1986 |
Coding theory › constrained coding
finite-state encoders |
0.0 | 1 | 1986 | An entropy maximization problem related to optical communication · IEEE Trans. Inf. Theory 1986 |
Coding theory
optical communication |
0.0 | 1 | 1986 | An entropy maximization problem related to optical communication · IEEE Trans. Inf. Theory 1986 |
Coding theory › error-correcting codes
reed-solomon codes |
0.0 | 1 | 1986 | On the decoder error probability for Reed-Solomon codes · IEEE Trans. Inf. Theory 1986 |
Physical-layer communications
channel coding |
0.0 | 1 | 1984 | Node Synchronization for the Viterbi Decoder · IEEE Trans. Commun. 1984 |
Physical-layer communications › channel coding › error control coding
convolutional codes |
0.0 | 1 | 1984 | Node Synchronization for the Viterbi Decoder · IEEE Trans. Commun. 1984 |
Internet architecture and protocols › network synchronization
node synchronization |
0.0 | 1 | 1984 | Node Synchronization for the Viterbi Decoder · IEEE Trans. Commun. 1984 |
Logic in computer science › model theory
infinite structures |
0.0 | 1 | 1982 | Infinite Structures in Information Theory · CRYPTO 1982 |
Cryptographic protocols and secure computation
secret sharing |
0.0 | 1 | 1981 | Security Proofs for Information Protection Systems · S&P 1981 |
Cryptographic protocols and secure computation › secret sharing
threshold secret sharing |
0.0 | 1 | 1981 | Security Proofs for Information Protection Systems · S&P 1981 |
Physical-layer communications › channel coding › convolutional decoding
viterbi decoding |
0.0 | 1 | 1984 | Node Synchronization for the Viterbi Decoder · IEEE Trans. Commun. 1984 |
Quantum computing and quantum information
security proof |
0.0 | 1 | 1981 | Security Proofs for Information Protection Systems · S&P 1981 |
Methods — techniques the papers use, named apart from their topics
error probability analysis · 0.0product measures · 0.0probability bounds · 0.0probabilistic security proofs · 0.0entropy maximization · 0.0statistical detection · 0.0reed-solomon outer coding · 0.0information theory · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | Performance of binary block codes at low signal-to-noise ratiosabstractThe performance of general binary block codes on an unquantized additive white Gaussian noise (AWGN) channel at low signal-to-noise ratios is considered. Expressions are derived for both the block error and the bit error probabilities near the point where the bit signal-to-noise ratio is zero. These expressions depend on the global geometric structure of the code, although the minimum distance still seems to play a crucial role. Examples of codes such as orthogonal codes, biorthogonal codes, the (24,12) extended Golay code, and the (15,6) expurgated BCH code are discussed. The asymptotic coding gain at low signal-to-noise ratios is also studied.> Chi-Chao Chao, Robert J. McEliece, Laif Swanson, Eugene R. Rodemich |
IEEE Trans. Inf. Theory | 3 |
| 1987 | A Note on the Wide-Band Gaussian Broadcast ChannelabstractRecently, Posner noted that on a wide-band Gaussian broadcast channel, ordinary time-shared coding performs almost as well as more sophisticated broadcast coding strategies. In this note, we shall give a quantitative version of Posner's result and argue that for certain realistic broadcast channels time sharing may suffice. Robert J. McEliece, Laif Swanson |
IEEE Trans. Commun. | 2 |
| 1986 | An entropy maximization problem related to optical communicationabstractMotivated by a problem in optical communication, we consider the general problem of maximizing the entropy of a stationary random process that is subject to an average transition cost constraint. Using a recent result of Justesen and Hoholdt, we present an exact solution to the problem and suggest a class of finite state encoders that give a good approximation to the exact solution. Robert J. McEliece, Eugene R. Rodemich, Laif Swanson |
IEEE Trans. Inf. Theory | 3 |
| 1986 | On the decoder error probability for Reed-Solomon codesabstractUpper bounds On the decoder error probability for Reed-Solomon codes are derived. By definition, "decoder error" occurs when the decoder finds a codeword other than the transitted codeword; this is in contrast to "decoder failure," which occurs when the decoder fails to find any codeword at all. These results imply, for example, that for aterror-correcting Reed-Solomon code of lengthq - 1over GF(q), if more thanterrors occur, the probability of decoder error is less than1/t!. Robert J. McEliece, Laif Swanson |
IEEE Trans. Inf. Theory | 2 |
| 1984 | Node Synchronization for the Viterbi DecoderabstractMotivated by the needs of NASA's Voyager 2 mission, in this paper we describe an algorithm which detects and corrects losses of node synchronization in convolutionally encoded data. This algorithm, which would be implemented as a hardware device external to a Viterbi decoder, makes statistical decisions about node synch based on the hard-quantized undecoded data stream. We will show that in a worst-case Voyager environment, our method will detect and correct a true loss of synch (thought to be a very rare event) within several hundred bits; many of the resulting outages will be corrected by the outer Reed-Solomon code. At the same time, the mean time between false alarms is on the order of several years, independent of the signal-to-noise ratio. Gary Lorden, Robert J. McEliece, Laif Swanson |
IEEE Trans. Commun. | 3 |
| 1982 | Infinite Structures in Information Theory
G. R. Blakley, Laif Swanson |
CRYPTO | 2 |
| 1981 | Security Proofs for Information Protection SystemsabstractRecently discovered procedures use a random input, rather than a cryptographic key, to turn a piece s of information into n + 1 pieces of information in such a way that s can be recovered from any b + 1 of them but that it is hard, or perhaps impossible in a sense which must be precisely defined, to recover s from any b of them. Thus, for example, one might have 15 pieces of information such that any 9 of them suffice to reconstitute s, but euch that no 8 of them give any hint as to what s is. The various authors of euch procedures have called them key safeguarding schemes, threshold schemes, secret sharing, and key sharing. None of these names captures the idea, which we will denote by information protection system (IPS). Our purpose is to put a rigorous foundation under the intuitive security arguments these papers adduce. In the proceed we will produce a distinctive style of proof of security, a rigorous argument involving product measures as a conceptual basis for justifying intuitively plausible probabilistic statement of the sort C. E. Shannon used to describe the security of the one-time pad. G. R. Blakley, Laif Swanson |
S&P | 2 |