Results 51 to 60 of about 911 (209)

Semi-fragile watermarking based content image authentication scheme

Revista Facultad de Ingeniería Universidad de Antioquia, 2013
This paper presents a block-wise semi-fragile watermarking scheme for image content authentication, with tamper area localization and recovery capability.
Clara Cruz, Rogelio Reyes, Mariko Nakano, Héctor Pérez   +3 more
doaj   +1 more source

Survey on AI Ethics: A Socio‐Technical Perspective

Computational Intelligence, Volume 41, Issue 6, December 2025.
Abstract The past decade has observed a significant advancement in AI, with deep learning‐based models being deployed in diverse scenarios, including safety‐critical applications. As these AI systems become deeply embedded in our societal infrastructure, the repercussions of their decisions and actions have significant consequences, making the ethical ...
Dave Mbiazi, Meghana Bhange, Maryam Babaei, Ivaxi Sheth, Patrik Kenfack, Samira Ebrahimi Kahou   +5 more
wiley   +1 more source

An adaptive block‐wise prediction error‐based (AdaBPE) reversible data hiding in encrypted images for medical image transmission

CAAI Transactions on Intelligence Technology, Volume 10, Issue 5, Page 1269-1290, October 2025.
Abstract Life expectancy has improved with new‐age technologies and advancements in the healthcare sector. Though artificial intelligence (AI) and the Internet of Things (IoT) are revolutionising smart healthcare systems, security of the healthcare data is always a concern.
Shaiju Panchikkil, Vazhora Malayil Manikandan, Partha Pratim Roy, Shuihua Wang, Yudong Zhang   +4 more
wiley   +1 more source

A blind recovery technique with integer wavelet transforms in image watermarking

Engineering Science and Technology, an International Journal, 2023
The development of internet technology has simplified the sharing and modification of digital image information. The aim of this study is to propose a new blind recovery technique based on integer wavelets transform (BRIWT) by utilizing their image ...
Ferda Ernawan, Afrig Aminuddin, Suraya Abu Bakar   +2 more
doaj   +1 more source

RDHNet: Reversible Data Hiding Method for Securing Colour Images Using AlexNet and Watershed Transform in a Fusion Domain

CAAI Transactions on Intelligence Technology, Volume 10, Issue 5, Page 1422-1445, October 2025.
ABSTRACT Medical images play a crucial role in diagnosis, treatment procedures and overall healthcare. Nevertheless, they also pose substantial risks to patient confidentiality and safety. Safeguarding the confidentiality of patients' data has become an urgent and practical concern.
Mohamed Meselhy Eltoukhy, Faisal S. Alsubaei, Mostafa M. Abdel‐Aziz, Khalid M. Hosny   +3 more
wiley   +1 more source

Tamper detection, localization and self-recovery using slant transform with DNA encoding for medical images

Results in Engineering
This work proposes an improved self-embedding semi-fragile watermarking scheme for a smart healthcare system using telemedicine. The watermark is produced by encoding the Slant Transform (ST) coefficients of each block of the host image.
Samudrala Jagadeesh, Ami Kumar Parida, K Meenakshi   +2 more
doaj   +1 more source

Content-Fragile Commutative Watermarking-Encryption Based on Pixel Entropy [PDF]

, 2015
Content-fragile commutative watermarking-encryption requires that both the content-fragile image signature and the watermarking process are invariant under encryption.
Grecos, Christos, Shujun Li, Christos Grecos, Grecos, C, Roland Schmitz, Xinpeng Zhang, Li, Shujun, Schmitz, Roland, Zhang, Xinpeng, Schmitz, R, Li, S, Zhang, X   +11 more
core   +1 more source

A Guide to Machine Learning Epistemic Ignorance, Hidden Paradoxes, and Other Tensions

WIREs Data Mining and Knowledge Discovery, Volume 15, Issue 3, September 2025.
ABSTRACT Machine learning (ML) has rapidly scaled in capacity and complexity, yet blind spots persist beneath its high performance façade. In order to shed more light on this argument, this paper presents a curated catalogue of 175 unconventional concepts, each capturing a paradox, tension, or overlooked risk in modern ML practice.
M. Z. Naser
wiley   +1 more source

AI and the Subjective Crisis of Knowledge

Journal of Religious Ethics, Volume 53, Issue 2, Page 193-216, June 2025.
ABSTRACT Religious ethicists have observed how the threat of AI‐generated texts, images, and videos accentuates the problems of a “post‐truth” world already linked to algorithms that foster misinformation and echo chambers. There is also a less discussed problem occurring in science as it becomes increasingly dependent on AI's analytic techniques ...
Paul Scherz, Luis Vera
wiley   +1 more source

FTG: Score-based black-box watermarking by fragile trigger generation for deep model integrity verification

Journal of Information and Intelligence
Deep neural networks (DNNs) are widely used in real-world applications, thanks to their exceptional performance in image recognition. However, their vulnerability to attacks, such as Trojan and data poison, can compromise the integrity and stability of ...
Heng Yin, Zhaoxia Yin, Zhenzhe Gao, Hang Su, Xinpeng Zhang, Bin Luo   +5 more
doaj   +1 more source