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A flaw in the Google Cloud Vertex AI SDK for Python let an attacker with no access to a victim's project hijack the victim's machine learning model upload and run code inside Google's serving infrastructure
Google’s Gemini-powered tools tripped up by image-scaling prompt injection Security researchers with Trail of Bits have found that Google Gemini CLI and other production AI systems can be deceived by image scaling attacks, a well-known adversarial challenge for machine learning systems.…
Processing and storage for Gemini 2.5 Flash to stay in Blighty Google Cloud is attempting to ease concerns about where AI data is stored by offering organizations the option to keep Gemini 2.5 Flash machine learning processing entirely within the UK.…
All it took to make an Google Edge TPU give up model hyperparameters was specific hardware, a novel attack technique … and several days Computer scientists from North Carolina State University have devised a way to copy AI models running on Google Edge Tensor Processing Units (TPUs), as used in Google Pixel phones and third-party machine learning accelerators.…
Cybersecurity researchers have disclosed two security flaws in Google's Vertex machine learning (ML) platform that, if successfully exploited, could allow malicious actors to escalate privileges and exfiltrate models from the cloud
Google is testing a new API that uses machine learning models to offer real-time language translation for inputted text and to make it easier to translate web pages. [...]
Researchers Automate Tricking LLMs Into Providing Harmful InformationA small group of researchers says it has identified an automated method for jailbreaking OpenAI, Meta and Google large language models with no obvious fix. Just like the algorithms that researchers can force into giving dangerous or undesirable responses, the technique depends on machine learning.
Thales will build new machine learning-powered data discovery and classification features based on Google Cloud's Vertex AI.