- author = "Chitchanok Chuengsatiansup and Markus Wagner and Yuval Yarom",
- title = "Opportunities for Genetic Improvement of Cryptographic Code",
- booktitle = "GI @ GECCO 2022",
- year = "2022",
- editor = "Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and W. B. Langdon and Justyna Petke",
- pages = "1928--1929",
- address = "Boston, USA",
- publisher_address = "New York, NY, USA",
- month = "9 " # jul,
- organisation = "SIGEVO",
- publisher = "Association for Computing Machinery",
- keywords = "genetic algorithms, genetic programming, genetic improvement, intermediate representation, LLVM IR, CryptOpt",
- isbn13 = "978-1-4503-9268-6/22/07",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2022/gi2022/papers/Chuengsatiansup_2022_GI.pdf",
-
DOI = "
10.1145/3520304.3534049",
-
slides_url = "http://geneticimprovementofsoftware.com/slides/gi2022gecco/chuengsatiansup-opportunities-for-genetic-gi-gecco-22.pdf",
-
video_url = "
https://www.youtube.com/watch?v=3xD2zgucpug&list=PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje&index=4",
- size = "2 pages",
- abstract = "Cryptography is one of the main tools underlying the security of our connected world. Cryptographic code must meet not only high security requirements, but also exhibit excellent non-functional properties, such as high performance and unique security requirements. As both automatic code generation and genetic improvement of such code are under explored, we motivate here what makes cryptographic code a prime target for future research.",
-
notes = "See also
\cite{Kuepper:2023:PLDI}
http://geneticimprovementofsoftware.com/events/gecco2022
Constant-time programming, masking. NIST P-256-mul
cites \cite{KriFeeleyQEST04}, Rosita \cite{Shelton:2021:NDSS} and \cite{DBLP:conf/vstte/BosamiyaGLPH20}.
'We start with an abstract representation of the code as a data flow graph'. 'register to spill to memory'. speed up upto 2.5 times faster. Hillclimb. Mutation takes advantage of reordering x86 instructions.
GECCO-2022 A Recombination of the 31st International Conference on Genetic Algorithms (ICGA) and the 27th Annual Genetic Programming Conference (GP)",
