Abstract: Existing approaches for differentially private deep learning with record-level differential privacy (e.g., DPSGD) involve bounding the contribution of each data point to the gradient by ...

AI vs AI cybersecurity arrived in documented form on May 10, when an LLM agent drove a four-pivot intrusion to database exfiltration in under an hour with no human direction. CrowdStrike data puts ...

Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.

Traditional job scheduling relied heavily on time-based execution, with cron jobs and hourly synchronisation being common in ...

Google’s Project Zero demonstrates a new zero-click exploit for the Pixel 10 phones, showing a full escalation from remote to kernel without user interaction. During the investigation Project Zero ...

Adam Palasciano is a writer over three years of experience writing about personal finance, investing, student loans, and more, for outlets like GOBankingRates, FinanceBuzz, The Penny Hoarder, and Wall ...

Abstract: Fine-tuning large language models (LLMs) on down-stream tasks has become a standard approach to adapt their capabilities. However, the process raises privacy concerns when using sensitive ...