Results 81 to 90 of about 15,456,116 (392)

Public Awareness and Telephone Contact with the Mid-Plains Poison Control Center [PDF]

open access: yes, 1987
The Center for Applied Urban Research (CAUR) conducted an evaluation of public awareness of poison control services available to Nebraskans by the MidPlains Poison Control Center (MPCC) in November and December 1986.
(CPAR), Center for Public Affairs Research
core   +1 more source

Transmembrane Activation of Catalysis and Protein Refolding in Synthetic Cells by Enzymes and Nanozymes

open access: yesAdvanced Functional Materials, EarlyView.
Synthetic cells are engineered herein to respond to an external chemical messenger by the activation of intracellular catalysis. The chemical messenger molecules are catalytically generated by an extracellular enzyme or a mineral surface, whereas the intracellular catalysis emerges via direct enzyme activation or via protein refolding.
Dante G. Andersen   +5 more
wiley   +1 more source

Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks [PDF]

open access: yesarXiv, 2023
Adversarial training (AT) is a robust learning algorithm that can defend against adversarial attacks in the inference phase and mitigate the side effects of corrupted data in the training phase. As such, it has become an indispensable component of many artificial intelligence (AI) systems.
arxiv  

2D Multifunctional Spin‐Orbit Coupled Dirac Nodal Line Materials

open access: yesAdvanced Functional Materials, EarlyView.
A total of 473 nonmagnetic and antiferromagnetic 2D spin‐orbit coupled Dirac nodal line materials are screened, spanning 5 layer groups and 12 magnetic space groups. Furthermore, it integrates their topological properties with electride, multiferroic, and magnetic characteristics, revealing unique systems with expanded functionalities and promising ...
Weizhen Meng   +7 more
wiley   +1 more source

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks [PDF]

open access: yesarXiv, 2018
Data poisoning is an attack on machine learning models wherein the attacker adds examples to the training set to manipulate the behavior of the model at test time. This paper explores poisoning attacks on neural nets. The proposed attacks use "clean-labels"; they don't require the attacker to have any control over the labeling of training data.
arxiv  

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching [PDF]

open access: yesarXiv, 2020
Data Poisoning attacks modify training data to maliciously control a model trained on such data. In this work, we focus on targeted poisoning attacks which cause a reclassification of an unmodified test image and as such breach model integrity. We consider a particularly malicious poisoning attack that is both "from scratch" and "clean label", meaning ...
arxiv  

Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks [PDF]

open access: yesarXiv, 2023
As the number of parameters in Deep Neural Networks (DNNs) scales, the thirst for training data also increases. To save costs, it has become common for users and enterprises to delegate time-consuming data collection to third parties. Unfortunately, recent research has shown that this practice raises the risk of DNNs being exposed to backdoor attacks ...
arxiv  

“Therapies Through Gut:” Targeted Drug Delivery for Non‐Gastrointestinal Diseases by Oral Administration

open access: yesAdvanced Healthcare Materials, EarlyView.
Schematic illustration of the mechanism of targeted delivery of nanoparticles including 1) paracellular, 2) endolysosomal escape, 3) receptor mediated endocytosis, and 4) M cell mediated transport for non‐GI diseases by oral administration such as atherosclerosis, cancer, diabetes, and brain diseases. Abstract Oral drug delivery is a promising approach
Subarna Ray   +2 more
wiley   +1 more source

Poisoned classifiers are not only backdoored, they are fundamentally broken [PDF]

open access: yesarXiv, 2020
Under a commonly-studied backdoor poisoning attack against classification models, an attacker adds a small trigger to a subset of the training data, such that the presence of this trigger at test time causes the classifier to always predict some target class.
arxiv  

Antidote application: an educational system for treatment of common toxin overdose [PDF]

open access: yes, 2017
Poisonings account for almost 1% of emergency room visits each year. Time is a critical factor in dealing with a toxicologic emergency. Delay in dispensing the first antidote dose can lead to life-threatening sequelae.
Brusic, V.   +4 more
core  

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