Abstract: Machine Learning (ML) models have proven effective in optimizing wireless and private networks. However, recent research highlights the threat of data poisoning attacks on ML models. To ...

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Torrens University Australia provides funding as a member of The Conversation AU. Poisoning is a term most often associated with the human body and natural environments. But it is also a growing ...

When she was 18, Dee Mphafi Tanka tested positive for HIV. A doctor bluntly told her she would get sick and die of AIDS—a terrifyingly real prospect in her home country of Lesotho, where HIV is still ...

Attack success depended on sample count, not dataset percentage. Larger models were no harder to poison than smaller ones. Clean retraining reduced, but did not always remove, backdoors. It turns out ...

Microsoft Corp.’s data-center crunch will continue for longer than the company has previously outlined, underscoring the software giant’s struggles to keep up with cloud demand. Many of Microsoft’s US ...

According to Anthropic (@AnthropicAI), new research demonstrates that injecting just a few malicious documents into training data can introduce significant vulnerabilities in AI models, regardless of ...

Scraping the open web for AI training data can have its drawbacks. On Thursday, researchers from Anthropic, the UK AI Security Institute, and the Alan Turing Institute released a preprint research ...