Koç Lab

 Koç Lab  
 Founder  
 People  
 Projects  
 Publications  
 News  

Recent News
Aug 2024 - USENIX Security Distinguished Paper Award
"Faster TLS 1.3 handshake using optimized X25519 and Ed25519", The 33rd USENIX Symposium, pages 6381-6398, August 14-16, 2024. PDF and Award
Aug 2024 - The 33rd USENIX
"Faster TLS 1.3 handshake using optimized X25519 and Ed25519", The 33rd USENIX Symposium, pages 6381-6398, August 14-16, 2024. PDF and also PDF
Jun 2024 - GSVLSI
"LAMP: Efficient Implementation of Lightweight Accelerator for Polynomial Multiplication, from Falcon to RBLWE-ENC", Great Lakes Symposium on VLSI, to appear, June 12-14, 2024. PDF
Jun 2024 - WAIFI
"SMALL: Scalable Matrix OriginAted Large Integer PoLynomial Multiplication Accelerator for Lattice-based Post-Quantum Cryptography", International Workshop on Arithmetic of Finite Fields 2024, to appear, June 10-12, 2024. PDF
Feb 2024 - IEEE TIFS
"Yet another Improvement of Plantard Arithmetic for Faster Kyber on Low-end 32-bit IoT Devices", IEEE Transactions Information Forensics & Security, Volume 19, pages 3800-3813, 2024. PDF
Jan 2024 - IACR Transactions on CHES
"CASA: A Compact and Scalable Accelerator for Approximate Homomorphic Encryption", IACR Transactions on CHES, Volume 2024, No. 2, pages 451-489, 2024. URL and PDF
Jan 2024 - IACR Transactions on CHES
"Revisiting Keccak and Dilithium Implementations on ARMv7-M", IACR Transactions on CHES, Volume 2024, No. 2, pages 1-24, 2024, 2024. URL and PDF
Journal of Cryptographic Engineering
JCEN is the premier forum for algorithms, hardware and software development in cryptography. Koç is the founding editor-in-chief of the journal, established in 2011. URL
Continued in     news.html
Research Areas
Cryptographic Engineering provides techniques, mechanisms, and tools for designing algorithms, architectures, hardware and software that support private and authenticated communication, allowing secure and authenticated transactions over communication networks.

Finite Field Arithmetic studies mathematical properties of finite rings and fields in order to discover novel representations of the elements and fast algorithms for arithmetic operations for designing efficient software and hardware for cryptography and error-correcting codes.

Random Number Generators are used for supplying secret keys, private keys, and ephemeral and initializing variables in cryptographic systems. Its foundations are based on cryptographic randomness, in terms of its entropy under the different measures and its complexity as methods of representation and underlying mathematical functions.

Homomorphic Encryption is a form of encryption that allows computations to be performed on encrypted data without decrypting it. Homomorphic encryption is used for privacy-preserving outsourced storage and computation. This allows data to be encrypted and out-sourced to commercial cloud environments for processing, while remain encrypted.

Machine Learning is a field of study in artificial intelligence concerned with the development and study of algorithms that can learn from data and generalize, and thus perform tasks without explicit instructions. Machine learning approaches have been applied to many fields including large language models, computer vision, speech recognition, agriculture, and medicine.



Content: Çetin Kaya Koç -- Graphics: Juan Manuel Escalante