Web7 hours ago · Professional services firms, managed service providers (MSPs) and systems integrators are pursuing the market, which seems a made-to-measure opportunity for organizations providing technology and business advice. Despite, or because of, the confusion, zero trust opportunities are poised to expand. TechTarget's 2024 IT Priorities … WebApr 10, 2024 · Predictions made by deep learning models are prone to data perturbations, adversarial attacks, and out-of-distribution inputs. To build a trusted AI system, it is therefore critical to accurately quantify the prediction uncertainties. While current efforts focus on improving uncertainty quantification accuracy and efficiency, there is a need to identify …
Model, Data and Reward Repair: Trusted Machine Learning for …
WebCLOSED Call for Papers: Special Section on “To Be Safe and Dependable in the Era of Artificial Intelligence: Emerging Techniques for Trusted and Reliable Machine Learning”. … WebApr 26, 2024 · This article proposes a blockchain-based federated learning (FL) framework with Intel Software Guard Extension (SGX)-based trusted execution environment (TEE) to securely aggregate local models in Industrial Internet-of-Things (IIoTs). In FL, local models can be tampered with by attackers. Hence, a global model generated from the tampered … iron oxide black 978
Special Issue on Trusted and Dependable Intelligent Systems
WebMar 31, 2024 · Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications. Philip Matthias Winter, Sebastian Eder, Johannes Weissenböck, Christoph … Webrelevant for defining trust in machine learning because machine learning systems in high-stakes applications are typically used within organizational settings. Trust is the … WebJul 15, 2024 · Part of the reason for trust and safety being so prominent on the agenda is that “we’re living in a transformative time in terms of our relationship with technology”, … iron oxidation in hemoglobin