Results 31 to 40 of about 968,122 (278)

Instance-Agnostic and Practical Clean Label Backdoor Attack Method for Deep Learning Based Face Recognition Models

open access: yesIEEE Access, 2023
Backdoor attacks, which induce a trained model to behave as intended by an adversary for specific inputs, have recently emerged as a serious security threat in deep learning-based classification models.
Tae-Hoon Kim   +2 more
doaj   +1 more source

Willingness-to-pay for ready-to-eat clean label food products at convenient stores

open access: yesFuture Foods, 2023
Clean label food products using natural and fresh ingredients with minimal additives have gained popularity in the market. In this study, four types of ready-to-eat clean label food products [red bean bread (bread category), rosemary chicken lunch (lunch
Jane Lu Hsu   +2 more
doaj   +1 more source

Interactive Label Cleaning with Example-based Explanations

open access: yesCoRR, 2021
main article + supplementary material, Advances in Neural Information Processing Systems 34 (NeurIPS 2021)
Teso Stefano   +3 more
openaire   +4 more sources

Controlling Ingredients for Healthier Meat Products: Clean Label

open access: yesMeat and Muscle Biology, 2020
Many ingredients are incorporated in the manufacture of meat products. Some of them are necessary to improve flavor, taste, and texture of meat products.
Geun Ho Kim, Ha Eun Kim, Koo Chin
doaj   +2 more sources

„CLEAN LABEL“ PROIZVODI OD MESA - KAKO DO POVERENJA POTROŠAČA?

open access: yes, 2022
There is no common and objective definition of clean label food. „Clean label’’ trend has influence the food industry to reveal on clearly way and with simply understanding show presence or absence a certain ingredient or additive, if the food ...
Stajić, Slaviša   +14 more
core   +1 more source

Enhancing Clean Label Backdoor Attack with Two-phase Specific Triggers [PDF]

open access: yes, 2022
Backdoor attacks threaten Deep Neural Networks (DNNs). Towards stealthiness, researchers propose clean-label backdoor attacks, which require the adversaries not to alter the labels of the poisoned training datasets.
Tan, Yu-an   +5 more
core   +1 more source

BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label

open access: yes, 2022
Due to its powerful feature learning capability and high efficiency, deep hashing has achieved great success in large-scale image retrieval. Meanwhile, extensive works have demonstrated that deep neural networks (DNNs) are susceptible to adversarial ...
Jin, H   +6 more
core   +1 more source

Evaluation of drying-grinding and wetting-grinding mediated fabrication of pork skin functional protein powders: the underlying mechanism responsible for superior properties and functionalities

open access: yesFood Science of Animal Products, 2023
The concept of healthiness and sustainability have triggered consumers into choosing healthier food, especially “clean-label” products. Porcine skin is a natural “clean-label” raw material, and direct usage of whole pork skin as an additive has been ...
Hai Chen   +5 more
doaj   +1 more source

“Clean label” as one of the leading trends in the meat industry in the world and in Poland – a review

open access: yesRoczniki Panstwowego Zakladu Higieny, 2020
The contemporary market of food products is highly variable. The reason for this is, among others the significant number of factors governing consumer choices in relation to food. Research results indicate that Polish consumers are increasingly declaring
Aneta Cegiełka
doaj   +1 more source

Clean label physical conjugates of protein-based bio-emulsifiers for food applications

open access: yesFood Chemistry Advances, 2023
Studies on protein-based emulsifiers for food uses have progressed rapidly in the last decade, due to better stability capacity, irreversible adsorption behaviour at the interface, thick interfacial layer, and higher nutritional values as compared to ...
Hemanta Chutia, Charu Lata Mahanta
doaj   +1 more source

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