Results 51 to 60 of about 2,792,706 (240)

Wavelet-Based Texture Mining and Enhancement for Face Forgery Detection

IET Biometrics
Due to the abuse of deep forgery technology, the research on forgery detection methods has become increasingly urgent. The corresponding relationship between the frequency spectrum information and the spatial clues, which is often neglected by current ...
Xin Li, Hui Zhao, Bingxin Xu, Hongzhe Liu   +3 more
doaj   +1 more source

Self-Supervised Feature Disentanglement for Deepfake Detection

Mathematics
Existing deepfake detection methods heavily rely on specific training data distributions and struggle to generalize to unknown forgery techniques. To address the challenge, this paper focuses on two critical research gaps: (1) the lack of systematic ...
Bo Yan, Pan Liu, Yumin Yang, Yanming Guo
doaj   +1 more source

MTFDN: An image copy‐move forgery detection method based on multi‐task learning [PDF]

Image copy-move forgery, where an image region is copied and pasted within the same image, is a simple yet widely employed manipulation. In this paper, we rethink copy-move forgery detection from the perspective of multi-task learning and summarize two ...
Hussain, Amir, Tu, Hang, Li, Ziyuan, Liang, Peng   +3 more
core   +1 more source

Geometry‐Driven Whispering‐Gallery Modes in Self‐Assembled Phosphorescent Organic Microtubes

Advanced Optical Materials, EarlyView.
Micelles encapsulating tris(2‐phenylpyridine)iridium(III) self‐assemble into a hollow hexagonal microtube stabilized by a surface passivation layer. The hexagonal cross‐section confines circulating light along its facets, sustaining sharp whispering‐gallery resonances that guide photoluminescence emission under laser excitation.
Do Wan Kim, Seokho Kim, Jinho Choi, Sang‐hun Lee, Seongwan Bae, Jongho Kim, Sangjun Lee, Junseok Heo, Sangin Kim, Kyusang Lee, Dong Hyuk Park   +10 more
wiley   +1 more source

Mf-net: multi-feature fusion network based on two-stream extraction and multi-scale enhancement for face forgery detection

Complex & Intelligent Systems
Due to the increasing sophistication of face forgery techniques, the images generated are becoming more and more realistic and difficult for human eyes to distinguish.
Hanxian Duan, Qian Jiang, Xin Jin, Michal Wozniak, Yi Zhao, Liwen Wu, Shaowen Yao, Wei Zhou   +7 more
doaj   +1 more source

Exploring Decision-based Black-box Attacks on Face Forgery Detection [PDF]

, 2023
Face forgery generation technologies generate vivid faces, which have raised public concerns about security and privacy. Many intelligent systems, such as electronic payment and identity verification, rely on face forgery detection. Although face forgery
Zhang, Wenqiang, Li, Bo, Chen, Zhaoyu, Wu, Shuang, Jiang, Kaixun, Ding, Shouhong   +5 more
core   +1 more source

Coherent Absorption Reveals Colors Hidden in a Grey Fabry–Pérot Cavity

Advanced Optical Materials, EarlyView.
A dielectric thin film shows colors depending on its thickness; this effect can be used to encode information normally accessible through single‐beam spectroscopy. We developed a method to conceal this kind of information, based on coating the dielectric with a matched conductor, that suppresses the color‐bearing thin‐film resonances.
Giuseppe E. Lio, Giulio Carotta, Lorenzo Lavista, Andrea Camposeo, Giacomo Venturi, Agnese Guernieri, Alessandro Pitanti, Simon A. R. Horsley, Giuseppe C. La Rocca, Alessandro Tredicucci, Simone Zanotto   +10 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Image Forgery Detection Techniques: Latest Trends and Key Challenges

IEEE Access
The improvement and accessibility of high-resolution cameras have significantly increased image capturing by various media. Different editing tools are available that are frequently used to improve image quality, resulting in the alteration of images. So,
Poulomi Deb, Subhrajyoti Deb, Abhijit Das, Nirmalya Kar   +3 more
doaj   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source