Results 61 to 70 of about 5,739,313 (302)

Adversarial Robustness on Image Classification With k-Means

IEEE Access
Attacks and defences in adversarial machine learning literature have primarily focused on supervised learning. However, it remains an open question whether existing methods and strategies can be adapted to unsupervised learning approaches.
Rollin Omari, Junae Kim, Paul Montague
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Research on structure and defense of adversarial example in deep learning

网络与信息安全学报, 2020
With the further promotion of deep learning technology in the fields of computer vision, network security and natural language processing, which has gradually exposed certain security risks.
DUAN Guanghan, SONG Lei, MA Chunguang, WU Peng   +1 more
doaj   +3 more sources

Ball Bearing Fault Diagnosis Based on Hybrid Adversarial Learning

IEEE Access
Ball bearings are prone to faults in their inner and outer rings and rolling elements. Timely detection of these faults is crucial, especially when adversarial perturbations are present, as deep learning-based fault diagnosis models may misclassify these
Xiaofeng Bai, Qazi Mazhar Ul Haq, Aftab Alam Khan, Chaohui Li, Hind Alsharif, Muhammad Shahid Anwar, Chengwei Li   +6 more
doaj   +1 more source

When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey

Patterns, 2020
With widespread applications of artificial intelligence (AI), the capabilities of the perception, understanding, decision-making, and control for autonomous systems have improved significantly in recent years.
Chongzhen Zhang, Jianrui Wang, Gary G. Yen, Chaoqiang Zhao, Qiyu Sun, Yang Tang, Feng Qian, Jürgen Kurths   +7 more
doaj   +1 more source

Adversarial Feature Learning

, 2016
The ability of the Generative Adversarial Networks (GANs) framework to learn generative models mapping from simple latent distributions to arbitrarily complex data distributions has been demonstrated empirically, with compelling results showing that the latent space of such generators captures semantic variation in the data distribution.
Donahue, Jeff, Krähenbühl, Philipp, Darrell, Trevor   +2 more
openaire   +2 more sources

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source

Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains

Advanced Robotics Research, EarlyView.
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao, Yinzhao Dong, Ji Ma, Peng Lu   +3 more
wiley   +1 more source

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World

Journal of Cybersecurity and Privacy
The traditional process for learning patch-based adversarial attacks, conducted in the digital domain and later applied in the physical domain (e.g., via printed stickers), may suffer reduced performance due to adversarial patches’ limited ...
Dudi Biton, Jacob Shams, Satoru Koda, Asaf Shabtai, Yuval Elovici, Ben Nassi   +5 more
doaj   +1 more source