Results 61 to 70 of about 243,531 (318)

Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses

, 2018
It has been shown that adversaries can craft example inputs to neural networks which are similar to legitimate inputs but have been created to purposely cause the neural network to misclassify the input.
Athalye Anish, Baluja Shumeet, Buckman Jacob, Diederik, Eykholt Kevin, Goodfellow Ian J, He Kaiming, Kurakin Alexey, Lin Min, Liu Yanpei, Lu Jiajun, Madry Aleksander, Metzen Jan Hendrik, Papernot Nicolas, Papernot Nicolas, Samangouei Pouya, Schulman John, Simonyan Karen, Tramèr Florian   +18 more
core   +1 more source

Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control

Advanced Functional Materials, EarlyView.
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong, Dohyean Kim, Jiyun Jeong, Taekyeong Kim, Soon‐sung Kwon, Junyoung Seo, Il Jeon, Im Doo Jung   +7 more
wiley   +1 more source

Selective Untargeted Evasion Attack: An Adversarial Example That Will Not Be Classified as Certain Avoided Classes

IEEE Access, 2019
Deep neural networks (DNNs) have useful applications in machine learning tasks involving recognition and pattern analysis. Despite the favorable applications of DNNs, these systems can be exploited by adversarial examples.
Hyun Kwon, Yongchul Kim, Hyunsoo Yoon, Daeseon Choi   +3 more
doaj   +1 more source

Downstream-agnostic Adversarial Examples

2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
This paper has been accepted by the International Conference on Computer Vision (ICCV '23, October 2--6, 2023, Paris, France)
Ziqi Zhou 0001, Shengshan Hu, Ruizhi Zhao, Qian Wang 0002, Leo Yu Zhang, Junhui Hou, Hai Jin 0001   +6 more
openaire   +2 more sources

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

Robust Audio Adversarial Example for a Physical Attack

, 2019
We propose a method to generate audio adversarial examples that can attack a state-of-the-art speech recognition model in the physical world. Previous work assumes that generated adversarial examples are directly fed to the recognition model, and is not ...
Sakuma, Jun, Yakura, Hiromu
core   +1 more source

All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security

Advanced Materials, EarlyView.
An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak, Changgyun Moon, Hyun‐Bin Yu, Sunkook Kim, Dong‐Hwan Kim   +4 more
wiley   +1 more source

Electronic music assassin: towards imperceptible physical adversarial attacks against black-box automatic speech recognitions

Cybersecurity
Speech recognition technology has brought revolutionary changes to our lives, but existing work has demonstrated the feasibility of using adversarial examples (AEs) to mislead speech recognition systems. Most existing adversarial attacks are designed for
Ruiyuan Li
doaj   +1 more source

DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model

Frontiers in Neurorobotics, 2023
Recent adversarial attack research reveals the vulnerability of learning-based deep learning models (DNN) against well-designed perturbations. However, most existing attack methods have inherent limitations in image quality as they rely on a relatively ...
Renyang Liu, Renyang Liu, Xin Jin, Xin Jin, Dongting Hu, Jinhong Zhang, Jinhong Zhang, Yuanyu Wang, Jin Zhang, Wei Zhou, Wei Zhou   +10 more
doaj   +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