Robustness and Security in AI Systems: Challenges and Solutions
Main Article Content
Abstract
Ensuring the robustness and security of artificial intelligence (AI) systems is paramount to their safe and reliable deployment across various domains. This paper investigates the challenges posed by adversarial attacks, data poisoning, and system vulnerabilities in AI applications and proposes solutions to enhance the resilience of AI systems against such threats. Through a comprehensive analysis of defense mechanisms such as adversarial training, robust optimization, and model verification techniques, this paper aims to provide a roadmap for building more secure and trustworthy AI systems capable of withstanding malicious manipulations and ensuring user safety and privacy.
Downloads
Article Details
How to Cite
References
Yalamati, S. (2023). Identify fraud detection in corporate tax using Artificial Intelligence advancements. International Journal of Machine Learning for Sustainable Development, 5(2), 1-15.
Yalamati, S. (2023). Artificial Intelligence influence in individual investors performance for capital gains in the stock market. International Scientific Journal for Research, 5(5), 1-24.
Palakurti, N. R. (2024). Bridging the Gap: Frameworks and Methods for Collaborative Business Rules Management Solutions. International Scientific Journal for Research, 6(6), 1-22.
Palakurti, N. R. (2024). Intelligent Security Solutions for Business Rules Management Systems: An Agent-Based Perspective. International Scientific Journal for Research, 6(6), 1-20.
Gutta, L. M. (2024). A Systematic Review of Cloud Architectural Approaches for Optimizing Total Cost of Ownership and Resource Utilization While Enabling High Service Availability and Rapid Elasticity. International Journal of Statistical Computation and Simulation, 16(1), 1-20.
Gutta, L. M., Bammidi, T. R., Batchu, R. K., & Kanchepu, N. (2024). REAL-TIME REVELATIONS: ADVANCED DATA ANALYSIS TECHNIQUES. International Journal of Sustainable Development Through AI, ML and IoT, 3(1), 1-22.
Bammidi, T. R., Gutta, L. M., Kotagiri, A., Samayamantri, L. S., & krishna Vaddy, R. (2024). THE CRUCIAL ROLE OF DATA QUALITY IN AUTOMATED DECISION-MAKING SYSTEMS. International Journal of Managment Education for Sustainable Development, 7(7), 1-22.
Gutta, L. M. (2023). Achieving Operational Excellence in Cloud Management: Practical Evaluation of Infrastructure as Code and the Well-Architected Framework's Adoption to Improve Process Maturity. International Journal of Managment Education for Sustainable Development, 6(6), 1-19.
Gutta, L. M. (2023). A Reproducible Quantitative Evaluation of DevSecOps Practices and Their Effects on Improving the Agility and Reliability of Healthcare Software Development. International Journal of Creative Research In Computer Technology and Design, 5(5), 1-14.
Bammidi, T. R., Gutta, L. M., Kotagiri, A., Samayamantri, L. S., & krishna Vaddy, R. (2024). THE CRUCIAL ROLE OF DATA QUALITY IN AUTOMATED DECISION-MAKING SYSTEMS. International Journal of Managment Education for Sustainable Development, 7(7), 1-22.
Samayamantri, L. S. (2023). Personalized B2B2C Business model. International Journal of Sustainable Development in Computing Science, 5(4), 1-17.
Samayamantri, L. S. (2023). Cognitive Affiliate Platforms: Revolutionizing Marketing Strategies through AI-driven Intelligence. International Machine learning journal and Computer Engineering, 6(6), 1-9.
Kotagiri, A. (2023). Mastering Fraudulent Schemes: A Unified Framework for AI-Driven US Banking Fraud Detection and Prevention. International Transactions in Artificial Intelligence, 7(7), 1-19.
Settibathini, V. S., Kothuru, S. K., Vadlamudi, A. K., Thammreddi, L., & Rangineni, S. (2023). Strategic Analysis Review of Data Analytics with the Help of Artificial Intelligence. International Journal of Advances in Engineering Research, 26, 1-10.
krishna Vaddy, R. (2023). Artificial intelligence (AI) and machine learning driving efficiency and automation in supply chain Transportation. International Journal of Managment Education for Sustainable Development, 6(6), 1-20.
krishna Vaddy, R. (2023). Future of AI/ML in Digital commerce and Supply chain. International Transactions in Artificial Intelligence, 7(7), 1-19.