3 days ago · AI threat detection enhances traditional security by identifying sophisticated threats in real-time, helping organizations stay ahead of cybercriminals.

6 hours ago · Effectively used to detect multiple types of fraud: Machine learning models can detect credit card and banking fraud, phishing attacks, fraudulent malware, and ...

6 days ago · Model extraction attacks involve adversaries using a series of intelligently crafted queries to replicate a machine learning model without exploiting ...

3 days ago · We show that even the most recent safety-aligned LLMs are not robust to simple adaptive jailbreaking attacks. First, we demonstrate how to successfully ...

4 days ago · For example, a hospital employee can install an EM probe on a portable ultrasound machine [122] and measure the leakage from the chip to steal the DNN models.

4 days ago · One example I like to give about not coming up with new ideas is the exorbitant use of XgBoost or other tree-based models, most financial models are still ...

3 days ago · Someone stole your data, or the CSP or model owner used it for training. Such a drastic shift in data interest compared to previous ML models (Xue et al., b) ...

2 days ago · AI defense mechanisms are essential for protecting AI models from adversarial attacks, data breaches, and unauthorized access. These mechanisms encompass a ...

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2 days ago · Stealing Machine Learning Models via Prediction APIs. Conference Paper. Full-text available. Aug 2016. Florian Tramer · Fan Zhang ...