What are adversarial attacks on machine learning models?

AI can automate repetitive tasks, improve decision-making processes, and enhance the accuracy and speed of data analysis. While the potential benefits are ... Proceedings of the 41st International Conference on Machine Learning, PMLR 235:54414-54429, 2024. Abstract. Standard exploration methods typically rely on ... Jun 23, 2022 ... Machine learning involves sophisticated algorithms which can be trained to sort information, identify patterns, and make predictions within large sets of data. Because AI challenges the ability of information privacy to operate as it has done historically, the safeguard against discrimination that information privacy ... Computer Science > Machine Learning. arXiv:2501.09327 (cs). [Submitted on 16 Jan 2025 (v1), last revised 17 Jan 2025 (this version, v2)] ... In simpler terms, machine learning enables computers to learn from data and make decisions or predictions without being explicitly programmed to do so. At its ... Dec 21, 2023 ... Artificial Intelligence (AI) works by simulating human intelligence through the use of algorithms, data, and computational power. The goal is to ... HPI Research Center in Machine Learning and Data Science. Making AI more adaptive, safe and human-centered. Explore HPI. Connected Learning Lab. Mobilizing ... Mar 27, 2025 ... We can also apply more sophisticated methods to extract relevance feedback from the top-ranked documents - machine learning models can provide a ... Oct 21, 2024 ... Abbas Saad Alatrany, Wasiq Khan, Abir Hussain, Hoshang Kolivand, and Dhiya Al-Jumeily. 2024. An explainable machine learning approach for ...