Results 121 to 130 of about 1,209,773 (317)

Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives

PROTEOMICS, EarlyView.
ABSTRACT Extracellular vesicles (EVs) are membrane‐bound vesicles secreted by various cell types into the extracellular space and play a role in intercellular communication. Their molecular cargo varies depending on the cell of origin and its functional state.
Gloria Kemunto, Samaneh Ghadami, Kristen Dellinger   +2 more
wiley   +1 more source

Stochastic Linear Bandits Robust to Adversarial Attacks [PDF]

, 2020
Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett   +3 more
openalex   +1 more source

Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial Attacks [PDF]

, 2023
Erfan Darzi, Nanna M. Sijtsema, P. M. A van Ooijen   +2 more
openalex   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Effect of transformations on the success of adversarial attacks for Clipped BagNet and ResNet image classifiers

, 2022
Ekaterina Olegovna Kurdenkova, Maria Sergeevna Cherepnina, Anna Chistyakova, Konstantin Vladimirovich Arkhipenko   +3 more
openalex   +2 more sources

A Partial Break of the Honeypots Defense to Catch Adversarial Attacks [PDF]

, 2020
Nicholas Carlini
openalex   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Experimental assessment of аdversarial attacks to the deep neural networks in medical image recognition

Informatika, 2019
This paper addresses the problem of dependence of the success rate of adversarial attacks to the deep neural networks on the biomedical image type and control parameters of generation of adversarial examples.
D. M. Voynov, V. A. Kovalev
doaj  

Enhancing Adversarial Defense via Brain Activity Integration Without Adversarial Examples

Sensors
Adversarial attacks on large-scale vision–language foundation models, such as the contrastive language–image pretraining (CLIP) model, can significantly degrade performance across various tasks by generating adversarial examples that are ...
Tasuku Nakajima, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama   +4 more
doaj   +1 more source

How to grow new applications out of old research? Evidence from firm cumulative investments in deep learning

Strategic Management Journal, EarlyView.
Abstract Research Summary Firm technological research has the potential to spawn multiple applications. Despite recognizing such potential, past literature disagrees on the process through which firms discover and grow new applications out of their past technological research.
Xirong (Subrina) Shen
wiley   +1 more source