Results 111 to 120 of about 5,389,393 (319)

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

An Audio Watermarking Algorithm Based on Adversarial Perturbation

Applied Sciences
Recently, deep learning has been gradually applied to digital watermarking, which avoids the trouble of hand-designing robust transforms in traditional algorithms.
Shiqiang Wu, Jie Liu, Ying Huang, Hu Guan, Shuwu Zhang   +4 more
doaj   +1 more source

Intriguing Properties of Adversarial Examples

CoRR, 2017
17 ...
Ekin Dogus Cubuk, Barret Zoph, Samuel S. Schoenholz, Quoc V. Le   +3 more
openaire   +3 more sources

Statistical Feature-Based Detection of Adversarial Noise and Patch Attacks in Image and Deepfake Analysis

195208Adversarial attacks pose a significant threat to the reliability and trustworthiness of machine learning systems, particularly in image classification tasks like deepfake detection.
Bunzel, Niklas, Göller, Nicolas, Steinebach, Martin, Graner, Lukas, Frick, Raphael   +4 more
core   +1 more source

Face Friend-Safe Adversarial Example on Face Recognition System

, 2019
Deep neural networks (DNNs) provide the excellent service on deep learning tasks such as image recognition, speech recognition, and pattern recognition. In the field of face recognition, researches using DNN have been carried out.
Kwon, Ohmin, Hyun Kwon, Ohmin Kwon, Yoon, Hyunsoo, Hyunsoo Yoon, Kwon, Hyun, Ki-Woong Park, Park, Ki-Woong   +7 more
core   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Generating Natural Adversarial Examples

CoRR, 2017
Due to their complex nature, it is hard to characterize the ways in which machine learning models can misbehave or be exploited when deployed. Recent work on adversarial examples, i.e. inputs with minor perturbations that result in substantially different model predictions, is helpful in evaluating the robustness of these models by exposing the ...
Zhengli Zhao, Dheeru Dua, Sameer Singh 0001   +2 more
openaire   +3 more sources

Trace-Norm Adversarial Examples

CoRR, 2020
White box adversarial perturbations are sought via iterative optimization algorithms most often minimizing an adversarial loss on a $l_p$ neighborhood of the original image, the so-called distortion set. Constraining the adversarial search with different norms results in disparately structured adversarial examples.
Ehsan Kazemi 0003, Thomas Kerdreux, Liqiang Wang 0001   +2 more
openaire   +2 more sources

GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification

, 2022
The vulnerabilities of deep neural networks against adversarial examples have become a significant concern for deploying these models in sensitive domains.
Kolouri, Soheil, Yin, Xuwang, Rohde, Gustavo K.   +2 more
core  

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