Results 21 to 30 of about 61,784 (267)

Clean-Label Starch Modifications: Dry Heat Treatment in Combination with Ion Exchange [PDF]

Foods
Potato starch offers the unique potential of mineral enrichment through the presence of phosphorylated amylopectin chains. This property was utilised in a straightforward dual modification of native potato starch by combining mineral enrichment with dry ...
Johanna A. Thomann, Michael Polhuis, Jan O. P. Broekman, Hero J. Heeres, André Heeres   +4 more
doaj   +2 more sources

From Composition to Acceptance: Linking Nutritional, Structural and Sensory Attributes in Clean-Label Breads [PDF]

Foods
The growing demand for clean-label bakery products requires a deeper understanding of how functional ingredients and physicochemical properties shape consumer perception.
Manuela Sanna, Stefano Sanna, Marco Serra, Tonina Roggio, Pasquale Catzeddu, Vanna Sanna   +5 more
doaj   +2 more sources

Clean-Label Backdoor Attacks: A Survey

IEEE Access
Backdoor attacks against neural networks allow adversaries to implant hidden behaviors that are activated at inference time while preserving high performance on clean inputs.
Lior Yasur, Tzvi Lederer, Lior Rokach, Yisroel Mirsky   +3 more
doaj   +2 more sources

How to Clean up Your Label

, 2013
In order to successfully develop a “clean label” product, a holistic technological approach must be followed. The first of a two-part examination of “clean label.”
Diaz, J.
openaire   +2 more sources

Understanding Consumers' Intentions to Purchase Clean Label Products: Evidence from Taiwan. [PDF]

Nutrients, 2022
In light of the fact that increasing consumer emphasis is being placed on the concepts of safety, health, and environmental protection, and that consumer groups are now attentive to the issues of “greenism” and sustainable development, the ...
Chang MY, Chen HS.
europepmc   +2 more sources

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

IEEE 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, Seok-Hwan Choi, Yoon-Ho Choi   +2 more
doaj   +1 more source

Interactive Label Cleaning with Example-based Explanations

CoRR, 2021
main article + supplementary material, Advances in Neural Information Processing Systems 34 (NeurIPS 2021)
Teso Stefano, Bontempelli Andrea, Giunchiglia Fausto, Passerini, Andrea   +3 more
openaire   +4 more sources

Production of clean-label starch using physically treated starch blending and its application as a xanthan gum substitute [PDF]

Food Science and Biotechnology
Yong-Ro Kim, Kim Yong-Ro
exaly   +2 more sources

BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label

, 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, Zhang, LY, Zhou, Z, Zhang, Y, Zheng, Y, He, Y, Hu, S   +6 more
core   +1 more source

Controlling Ingredients for Healthier Meat Products: Clean Label

Meat 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