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International Journal Science and Technology (IJST)
Published by Asosiasi Dosen Muda Indonesia
ISSN : 28287223     EISSN : 28287045     DOI : https://doi.org/10.56127/ijst.v1i2
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
International Journal Science and Technology (IJST) is a scientific journal that presents original articles about research knowledge and information or the latest research and development applications in the field of technology. The scope of the IJST Journal covers the fields of Informatics, Mechanical Engineering, Electrical Engineering, Information Systems and Industrial Engineering. This journal is a means of publication and a place to share research and development work in the field of technology.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 12 Documents
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Search results for , issue "Vol. 2 No. 2 (2023): July: International Journal Science and Technology" : 12 Documents clear
DELIZIA SELF SERVICE APPLICATION USING UX DESIGN AND ANDROID STUDIO Fernandus Felix Heriyanto; Hari Setiabudi Husni
International Journal Science and Technology Vol. 2 No. 2 (2023): July: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v2i2.893

Abstract

Delizia Self Service is a tart ordering service application using the concept of Self Service Technology (SST). In this application there are 2 kinds of prospective users, in terms of customers to order tarts who can choose directly the tarts they want and even customers can also customize tarts according to their tastes. And in terms of admin which is useful for managing products, from adding products, deleting products and modifying products. Based on its function, this application provides benefits such as providing alternative means of selling tarts, increasing sales value, increasing interest, user experience, satisfaction, and comfort of buyers when ordering tarts. This journal focuses on developing application recommendations by designing the UI/UX of the Delizia Self Service Application and realizing it using Android Studio, using the System Development Life Cycle (SDLC) method with the prototype model.
Adversarial AI: Threats, Defenses, and the Role of Explainability in Building Trustworthy Systems Deepak Kejriwal; Pujari, Tejaskumar Dattatray
International Journal Science and Technology Vol. 2 No. 2 (2023): July: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v2i2.1955

Abstract

Artificial Intelligence has made possible the latest revolutions in the industry. Nevertheless, adversarial AI turns out to be a serious challenge because of its tendency to exploit the vulnerabilities of machine learning models, breach their security, and eventually lead them to fail, mostly unless very few. Adversarial attacks can be evasion and poisoning, model inversion, and so forth; they indeed say how fragile an AI system is and also suggest a proper immediate call for solid defensive structures. Several adversarial defense mechanisms have been proposed―from adversarial training to defensive distillation and certified defenses―yet they remain vulnerable to high-level attacks. This included the emergence of explainable artificial intelligence (XAI) as one of the significant components in AI security, whereby capturing interpretability and transparency can lead to better threat detection and user trust. This work encompasses a literature review of adversarial AIs, current developments in adversarial defenses, and the role played by XAI in reducing threats from such adversarial systems. In effect, the paper presents an integrated framework with techniques of explainability for the building of resilient, transparent, and trustworthy AI systems.

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