machine learning
Android malware detection collapses when the context stage comes out
A phone backup app asks for storage, contacts, SMS, and call logs. A device-management tool asks for more than that. Run either one past a machine learning malware scanner and …
JadePuffer returns with ransomware built to target AI models and infrastructure
JadePuffer, the threat actor behind the recently documented extortion operation executed end-to-end by an AI agent, is now attempting to leverage ENCFORGE, novel ransomware …
Hugging Face breached by autonomous AI agent
Hugging Face, the widely used platform for sharing open-source machine learning models and datasets, has disclosed a security breach it says was carried out by an autonomous …
Review: Building Machine Learning Systems with a Feature Store
Many people come to machine learning by training a model on a tidy dataset, and then meet a harder problem: making that model work for real users, on fresh data, every day. …
X Square Robot open sources its robot-free data collection framework
Companies building robots for physical work spend large amounts of time and money operating machines by hand to gather training examples. Each session with a physical robot …
6G network design puts AI at the center of spectrum, routing, and fault management
Wireless network operators are preparing for a generation of infrastructure where AI is built into the architecture from the start. Sixth-generation networks, expected to …
Malware detectors trained on one dataset often stumble on another
Machine learning models built to catch malware on Windows systems are typically evaluated on data that closely resembles their training set. In practice, the malware arriving …
AI got it wrong with high confidence. Now what?
In this Help Net Security interview, Christian Debes, Head of Data Analytics & AI at SPRYFOX, talks about the growing gap between what AI models do and what their …
Security teams are paying more attention to the energy cost of detection
Security teams spend a lot of time explaining why detection systems need more compute. Cloud bills rise, models retrain more often, and new analytics pipelines get added to …
Banks built rules for yesterday’s crime and RegTech is trying to fix that
Criminals are moving money across borders faster, and financial institutions are feeling the squeeze. Compliance teams feel this strain every day as they try to keep up with …
How researchers are teaching AI agents to ask for permission the right way
People are starting to hand more decisions to AI agents, from booking trips to sorting digital files. The idea sounds simple. Tell the agent what you want, then let it work …
New observational auditing framework takes aim at machine learning privacy leaks
Machine learning (ML) privacy concerns continue to surface, as audits show that models can reveal parts of the labels (the user’s choice, expressed preference, or the result …
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