This paper examines the role of attacker's memory in quantization index modulation (QIM) watermarking systems. First we derive the attacker's noise distribution that maximizes probability of error of the detector. Next, we derive QIM code parameters that are minmax optimal. The minmax optimal embedding strategy involves randomized lattice rotations, and the corresponding worst noise distributions are isotropic.
Minmax strategies for QIM watermarking subject to attacks with memory
01.01.2005
235016 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Minmax Strategies for Qim Watermarking Subject to Attacks with Memory
British Library Conference Proceedings | 2005
|Impact Angle Guidance Using MinMax Approach
British Library Conference Proceedings | 2019
|The m-Traveling Salesman Problem with Minmax Objective
Online Contents | 1995
|Minmax regret combinatorial optimization problems: an algorithmic perspective
British Library Online Contents | 2011
|Controlling underestimation bias in reinforcement learning via minmax operation
Elsevier | 2024
|