Demo Data from EDBT 2026 / reviewers in the wild / expert
Joel Kuepper
dblp:334/1927
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0002-0643-2440ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021
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.
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 77% Program verification · 23% | |
| Network and information security
1 paper |
Cryptographic primitives and cryptanalysis · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic primitives and cryptanalysis
finite field arithmetic |
0.7 | 1 | 2023 | CryptOpt: Verified Compilation with Randomized Program Search for Cryptographic Primitives · Proc. ACM Program. Lang. 2023 |
Compilers and program optimization
verified compilation |
0.7 | 1 | 2023 | CryptOpt: Verified Compilation with Randomized Program Search for Cryptographic Primitives · Proc. ACM Program. Lang. 2023 |
Program verification › formal proof
mechanized proof |
0.2 | 1 | 2023 | CryptOpt: Verified Compilation with Randomized Program Search for Cryptographic Primitives · Proc. ACM Program. Lang. 2023 |
Methods — techniques the papers use, named apart from their topics
symbolic execution · 1.3randomized program search · 1.3SMT solving · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | CryptOpt: Verified Compilation with Randomized Program Search for Cryptographic PrimitivesabstractMost software domains rely on compilers to translate high-level code to multiple different machine languages, with performance not too much worse than what developers would have the patience to write directly in assembly language. However, cryptography has been an exception, where many performance-critical routines have been written directly in assembly (sometimes through metaprogramming layers). Some past work has shown how to do formal verification of that assembly, and other work has shown how to generate C code automatically along with formal proof, but with consequent performance penalties vs. the best- known assembly. We present CryptOpt, the first compilation pipeline that specializes high-level cryptographic functional programs into assembly code significantly faster than what GCC or Clang produce, with mechanized proof (in Coq) whose final theorem statement mentions little beyond the input functional program and the operational semantics of x86-64 assembly. On the optimization side, we apply randomized search through the space of assembly programs, with repeated automatic benchmarking on target CPUs. On the formal-verification side, we connect to the Fiat Cryptography framework (which translates functional programs into C-like IR code) and extend it with a new formally verified program-equivalence checker, incorporating a modest subset of known features of SMT solvers and symbolic-execution engines. The overall prototype is quite practical, e.g. producing new fastest-known implementations of finite-field arithmetic for both Curve25519 (part of the TLS standard) and the Bitcoin elliptic curve secp256k1 for the Intel 12𝑡ℎ and 13𝑡ℎ generations. Joel Kuepper, Andres Erbsen, Jason Gross, Owen Conoly, Chuyue Sun, Samuel Tian, Adam Chlipala, Chitchanok Chuengsatiansup, Daniel Genkin, Markus Wagner 0007, Yuval Yarom |
Proc. ACM Program. Lang. | 1 |