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.
Computer Sciences
AI models often rely on "spurious correlations," making decisions based on unimportant and potentially misleading information. Researchers have now discovered these learned spurious correlations can be traced to a very small ...
Apr 18, 2025
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Security
As Internet of Things (IoT) devices proliferate in sectors like smart cities, health care, and industrial systems, they have become prime targets for cyberattacks such as Distributed Denial of Service (DDoS), ransomware, ...
Apr 16, 2025
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Consumer & Gadgets
It seems that no matter the topic of conversation, online opinion around it will be split into two seemingly irreconcilable camps.
Apr 15, 2025
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Machine learning & AI
Earlier this year, scientists discovered a peculiar term appearing in published papers: "vegetative electron microscopy."
Apr 15, 2025
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Security
Fraud is widespread in the United States and increasingly driven by technology. For example, 93% of credit card fraud now involves remote account access, not physical theft. In 2023, fraud losses surpassed $10 billion for ...
Apr 15, 2025
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Business
Social media company Meta said Monday that it will start using publicly available content from European users to train its artificial intelligence models, resuming work put on hold last year after activists raised concerns ...
Apr 14, 2025
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Computer Sciences
A digital twin is an exact virtual copy of a real-world system. Built using real-time data, they provide a platform to test, simulate, and optimize the performance of their physical counterpart. In health care, medical digital ...
Apr 10, 2025
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Computer Sciences
Data privacy comes with a cost. There are security techniques that protect sensitive user data, like customer addresses, from attackers who may attempt to extract them from AI models—but they often make those models less ...
Apr 10, 2025
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Computer Sciences
Today, almost everybody has heard of AI and millions around the world already use, or are exposed, to it—from ChatGPT writing our emails, to helping with medical diagnosis.
Apr 10, 2025
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Security
Fake news across social media is becoming ever easier to spread and more difficult to detect. That's thanks to increasingly powerful artificial intelligence (AI) and cuts to fact-checking resources by major platforms.
Apr 8, 2025
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