Sonia Cafieri, Jon Lee, et al.
Journal of Global Optimization
This paper introduces approximate image message authentication codes IMACs) for soft image authentication. The proposed approximate IMAC survives small to moderate image compression and it is capable of detecting and locating tampering. Techniques such as block averaging and smoothing, parallel approximate message authentication code (AMAC) computation, and image histogram enhancement are used in the construction of the approximate IMAC. The performance of the approximate IMAC in three image modification scenarios, namely, JPEG compression, deliberate image tampering, and additive Gaussian noise, is studied and compared. Simulation results are presented.
Sonia Cafieri, Jon Lee, et al.
Journal of Global Optimization
Quinn Pham, Danila Seliayeu, et al.
CASCON 2024
Yvonne Anne Pignolet, Stefan Schmid, et al.
Discrete Mathematics and Theoretical Computer Science
Liat Ein-Dor, Y. Goldschmidt, et al.
IBM J. Res. Dev