Trustworthy machine learning addresses methods for training and deploying models that are secure, privacy-preserving, and robust to manipulation. Work in this area develops federated and decentralized learning schemes, cryptographic and homomorphic encryption frameworks, and privacy-preserving compression to protect data and models. It also studies adversarial example generation and defenses, certified unlearning, bias and spurious correlation mitigation, and the use of synthetic and filtered data. Applications span fraud and cyberattack detection, fake news and deception detection, and secure automation systems.
Security
A research team has developed a new one-shot federated learning artificial intelligence (AI) technique that enables efficient training of large-scale models without sharing personal information. This research outcome is extremely ...
Oct 21, 2025
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Security
Poisoning is a term most often associated with the human body and natural environments.
Oct 20, 2025
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Business
As local governments adopt new technologies that automate many aspects of city services, there is an increased likelihood of tension between the ethics and expectations of citizens and the behavior of these "smart city" tools. ...
Oct 20, 2025
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Security
Federated learning was devised to solve the problem of difficulty in aggregating personal data, such as patient medical records or financial data, in one place. However, during the process where each institution optimizes ...
Oct 15, 2025
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Telecom
SUTD researchers test a privacy-preserving approach that blends federated learning with cloud coordination for smart grids in future 6G environments.
Oct 15, 2025
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Machine learning & AI
Just as human eyes tend to focus on pictures before reading accompanying text, multimodal artificial intelligence (AI)—which processes multiple types of sensory data at once—also tends to depend more heavily on certain ...
Oct 14, 2025
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Hardware
University of Missouri researchers have used artificial intelligence to detect hidden hardware trojans through a method that's 97% accurate.
Oct 13, 2025
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Hardware
Researchers from NC State University have identified the first hardware vulnerability that allows attackers to compromise the data privacy of artificial intelligence (AI) users by exploiting the physical hardware on which ...
Oct 8, 2025
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Machine learning & AI
An artificial intelligence tool that can detect tiny, hard-to-spot brain malformations in children with epilepsy could help patients access life-changing surgery quicker, Australian researchers said on Wednesday.
Sep 30, 2025
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Computer Sciences
A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as variational autoencoders ...
Sep 29, 2025
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