Abstract: Deep neural networks are shown to be vulnerable to adversarial examples. Recently, various methods have been proposed to improve the transferability of adversarial examples. However, most of ...
🎨 A comprehensive exploration of object-oriented design patterns, featuring fully implemented examples like inheritance, composition, observers, decorators, and factory methods. Built with Java to ...
Abstract: Deep learning has been widely used for network traffic classification, but they are vulnerable to well-designed adversarial examples. From the attacker's point of view, a new method is ...
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
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