Research
Find research shared by the Owlstown community.
GHCW: A novel Guarded High-fidelity Compression-based Watermarking scheme for AI model protection and self-recovery
Abstract: Artificial Intelligence (AI) models are valuable and frequently face malicious tampering attacks, which require significant data and time to retrain when compromised. To address this issue, we propose a Guarded High-fidelity Compression-...
Publication · October 28, 2025
Mixotrophy in the versatile Fe(II)-oxidizer Sideroxydans sp. CL21
Microorganisms are often, genetically, metabolically versatile, which can lead to advantages in diverse environments, or when faced with environmental disturbances, intra or interspecific competetion for ressources such as nutrients.
One such ...
Project · October 28, 2025
Effect of plant biodiversity on microbial community assembly and dynamics
While we know that plants exert a certain control on soil microbial communities via their secondary metabolites, especially in the rhizosphere, we know little about how plant biodiversity affects soil microorganisms as a whole. Soil microorganisms...
Project · October 28, 2025
Differential effects of drought and ecosystem type on tropical soil microbial communities
Tropical rainforests such as the Amazon are of high importance as a global carbon sink. Due to its well-known nutrient limitation, the Amazon rainforest relies heavily on rapid microbial decomposition of biomass to release freshly available nutrie...
Project · October 28, 2025
DFFormer: Capturing Dynamic Frequency Features to Locate Image Manipulation through Adaptive Frequency Transformer and Prototype Learning
Abstract: The proliferation of modern image editing tools has raised concerns about image manipulation, particularly regarding the potential to mislead the public and compromise privacy and security. Consequently, detecting and localizing tampered...
Publication · October 28, 2025
A Two-Phase Scheme by Integration of Deep and Corner Feature for Balanced Copy-Move Forgery Localization
Abstract: In the era of Industry 4.0, the widespread application of digitization, automation, and Internet technology in industrial production has led to a significant increase in image data. Image security has become crucial because images are at...
Publication · October 28, 2025
A noise-assistant network for tampering detection via inconspicuous feature enhancement and multi-perspective perception
Abstract: In response to malicious tampering with digital images, neural networks are employed to detect tampering, thereby enhancing digital information security. The effectiveness of neural networks in tampering detection is profoundly influence...
Publication · October 28, 2025
Enabling Real-Time Shape Sensing in Soft Robots via a Miniaturized, Single-Signal, Color-Tuned Soft Optical Sensor
Publication · October 28, 2025
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