Results 51 to 60 of about 12,750 (303)
Ontario’s history of tampering and re-tampering with birth registration documents
This article opens a discussion on the matter of Ontario administrators’, hospital and government employees’ history of tampering with long form birth registration documents in situations where birth mothers were unmarried or separated. Relying on Indigenous methods, such as listening to personal stories, and experts, the author explores how
openaire +2 more sources
On the Impossibility of Cryptography with Tamperable Randomness [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Per Austrin +4 more
openaire +2 more sources
Reversible Medical Image Watermarking For Tamper Detection And Recovery With Run Length Encoding Compression [PDF]
Digital watermarking in medical images can ensure the authenticity and integrity of the image. This design paper reviews some existing watermarking schemes and proposes a reversible tamper detection and recovery watermarking scheme.
Jasni Mohd Zain +5 more
core +1 more source
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
Tamper Detection in Text Document
Although text document images authentication is difficult due to the binary nature and clear separation between the background and foreground but it is getting higher demand for many applications.
Baghdad Science Journal
doaj +1 more source
The relational database has become one of the mainstream tools for data storage and management. However, there are two main types of threats to relational databases: external attacks and internal tampering threats. In this paper, we focus on the internal
Jie Lian, Siqian Wang, Yanmiao Xie
doaj +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Image watermarking is one of techniques that can be used to protect and recover from the altered images. Tamper detection in semi-fragile still does not achieve high accuracy for tamper localization, especially in malicious attacks.
Agit Amrullah +3 more
doaj +1 more source
Region‐based scalable self‐recovery for salient‐object images
Self‐recovery is a tamper‐detection and image recovery methods based on data hiding. It generates two types of data and embeds them into the original image: authentication data for tamper detection and reference data for image recovery.
Navid Daneshmandpour +2 more
doaj +1 more source

