Results 101 to 110 of about 74,180 (287)
DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu +3 more
wiley +1 more source
An asymmetric watermarking method [PDF]
IEEE Transactions on Signal Processing, 2003 This article presents an asymmetric watermarking method as an alternative to classical Direct Sequence Spread Spectrum and Watermarking Costa Schemes techniques. This new method provides a higher security level against malicious attacks threatening watermarking techniques used for a copy protection purpose.
Furon, Teddy, Duhamel, Pierre
openaire +2 more sources
Digital Image Watermarking Techniques: A Review
Information, 2020 Digital image authentication is an extremely significant concern for the digital revolution, as it is easy to tamper with any image. In the last few decades, it has been an urgent concern for researchers to ensure the authenticity of digital images ...
Mahbuba Begum, Mohammad Shorif Uddin
doaj +1 more source
Collaborating in future states—Contextual instability, paradigmatic remaking, and public policy
Australian Journal of Public Administration, EarlyView.Abstract Collaboration is ubiquitous in public policy life, with its presence and profile determined by prevailing governance conditions. Commitments to globalisation and marketisation in the latter part of the 20th century marked the onset of an era defined by collaboration, between and across tiers and spheres of government, with non‐state actors ...
Helen Sullivan
wiley +1 more source
Robust audio hashing for audio authentication watermarking
, 2022 Art. 68190LCurrent systems and protocols based on cryptographic methods for integrity and authenticity verification of media data do not distinguish between legitimate signal transformation and malicious tampering that manipulates the content ...
Steinebach, M., Zmudzinski, S.
core +1 more source
DAWN: Dynamic Adversarial Watermarking of Neural Networks [PDF]
ACM Multimedia, 2019 Training machine learning (ML) models is expensive in terms of computational power, amounts of labeled data and human expertise. Thus, ML models constitute business value for their owners. Embedding digital watermarks during model training allows a model
Sebastian Szyller +3 more
semanticscholar +1 more source
The British Journal of Sociology, EarlyView.ABSTRACT Tracing the early adoption of computer gang databases by the Los Angeles County Sheriff's Department and the Los Angeles Police Department in the 1980s to the deployment of computationally‐assisted surveillance during the Vietnam War, this paper uses a genealogical approach to compare surveillance technologies developed across the arc of ...
Christina Hughes
wiley +1 more source
Xml Streams Watermarking [PDF]
, 2006 XML streams are valuable, continuous, high-throughput sources of information whose owners must be protected against illegal redistributions. Watermarking is a known technique for hiding copyrights marks within documents, thus preventing redistributions.
Lafaye, Julien, Gross-Amblard, David
openaire +3 more sources
OCTALIS benchmarking: Comparison of four watermarking techniques
, 2022 S.240-250In this paper, benchmarking results of watermarking techniques are presented. The benchmark includes evaluation ot the watermark robustness and the subjective visual image quality. Four different algorithms are compared, and exhaustively tested.
Kutter, M. +5 more
core
Collusion-secure patchwork embedding for transaction watermarking
, 2022 Paper 78800VDigital transaction watermarking today is a widely accepted mechanism to trace back copyright infringements. Here, copies of a work are individualized by embedding user-specific watermark messages. One major threat on transaction watermarking
Steinebach, M. +3 more
core +1 more source