model inversion and membership inference. Model inversion is a type of attack that uses the final output of an AI model to identify the original dataset on which the AI system was trained.
is a side-channel attack that measures the electromagnetic intensity of AI model use (inference) when running on TPUs, and exploits those measurements to infer model hyperparameters. Machine ...
Hyderabad: Predicting the next wave of cyber attacks in 2025, the Data Security Council of India's (DSCI) Cyber Threat Report has pointed out that IoT devices, AI-powered adaptive malware and ...
The latest Global Identity Fraud Report by AU10TIX reveals a new wave in identity fraud, largely driven by the industrialization of AI-based attacks. With millions of transactions analyzed from ...