Results 91 to 100 of about 5,384,791 (287)

Camouflaged Adversarial Example Generation Method for the Form of Motion Blur in Traffic Scenes [PDF]

Jisuanji gongcheng
In the domain of autonomous driving perception systems, Convolutional Neural Network(CNN) plays a pivotal role as a fundamental technology in vehicle perception and decision making. However, adversarial attacks pose a substantial threat to the safety and
ZHANG Zhaoxin, HUANG Shize, ZHANG Bingjie, SHEN Tuo
doaj   +1 more source

Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks

Advanced Science, EarlyView.
Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley   +1 more source

Molecular Atlas of Key Food Odorants Reveals Mixture‐Level Organization and Enables Generative Aroma Design

Advanced Science, EarlyView.
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang, Huadong Xing, Antonella Di Pizio, Qinfei Ke, Xingran Kou, Dachuan Zhang   +5 more
wiley   +1 more source

seabass-detection/seabass-detection v.01-alpha

, 2019
<p>Example code and images for paper Using Machine Vision to Estimate Fish Length from Images using Regional Convolutional Neural Networks in journal Methods in Ecology and Evolution.</p ...
seabass-detection
core   +1 more source

Adversarial Examples Detection in Features Distance Spaces

, 2019
Maliciously manipulated inputs for attacking machine learning methods -- in particular deep neural networks -- are emerging as a relevant issue for the security of recent artificial intelligence technologies, especially in computer vision. In this paper, we focus on attacks targeting image classifiers implemented with deep neural networks, and we ...
Fabio Carrara, Rudy Becarelli, Roberto Caldelli, Fabrizio Falchi, Giuseppe Amato 0001   +4 more
openaire   +3 more sources

Interpretable BoW Networks for Adversarial Example Detection

CoRR, 2019
The standard approach to providing interpretability to deep convolutional neural networks (CNNs) consists of visualizing either their feature maps, or the image regions that contribute the most to the prediction. In this paper, we introduce an alternative strategy to interpret the results of a CNN.
Krishna Kanth Nakka, Mathieu Salzmann
openaire   +2 more sources

Cross‐scale Material‐Structure Synergy for 2D Metamaterials: Toward Customizable Intelligent Electromagnetic Manipulation in Multiphysics Fields

Advanced Science, EarlyView.
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang, Xing Yang, Liping Liu, Yang Peng, Yangyang Wang, Hualiang Lv   +5 more
wiley   +1 more source

A novel adversarial example detection method for malicious PDFs using multiple mutated classifiers

, 2021
PDF malware remains as a major hacking technique. To distinguish malicious PDFs from massive PDF files poses a challenge to forensic investigation. Machine learning has become a mainstream technology for malicious PDF document detection either to help ...
J Jiang (9552179), KP Chow (14467227), SM Yiu (15839798), C Liu (7704218), W Huang (7725164), C Lou (13402092), M Yu (7772189), Gang Li (13081260)   +7 more
core  

scGEN: Leveraging an Adaptive Weighting Strategy for Challenging Cell Clustering in Single‐Cell RNA‐seq

Advanced Science, EarlyView.
scGEN combines attribute–structure encoding, adaptive hard‐sample weighting, and regularized zero‐inflated negative binomial loss to resolve ambiguous single‐cell states. In the developing human pituitary, refined annotations reveal Pre.Gonado cells at 7 weeks and previously obscured developmental communication networks.
Fang Huang, Dayu Hu, Yaqi Dai, Aoyi Geng, Renxiang Guan, Hao Quan, Brett A. McGregor, Zhihan Wang, Nadeem Khan, Hongsheng Zhang, Jinghua Zhang, Mingyang Xia, Xiaoqiong Gu, Di Che, Junguk Hur, Xiaoyu Cui, Kai Guo   +16 more
wiley   +1 more source

A Periodic Adversarial Threat Model for Deep Neural Networks in Aerial Vehicle Detection [PDF]

Deep neural network (DNN)-based vehicle detection systems deployed on unmanned aerial vehicles (UAVs) are susceptible to adversarial attacks, resulting in significant implications for public safety and system reliability.
Shen, Jun, Fahmideh, Mahdi, Telikani, Akbar, Du, Bo, Yan, Jun   +4 more
core   +1 more source