Advanced Research Design

We specialize in innovative research design, focusing on data simulation and adversarial example generation.

Data Simulation

Utilizing public datasets to generate adversarial examples and extract model gradients for analysis.

A protest sign made from cardboard is held up, displaying bold red text opposing a surveillance system, digital ID, and social credit system. It is surrounded by trees, people, and a street sign.

Entropy Detection

Developing algorithms to analyze gradient information entropy and identify abnormal patterns effectively.

Integrating modules into mainstream models, ensuring low latency and high defense success rates.

System Integration

A monochrome image featuring a large, futuristic, and industrial-looking machine with detailed mechanical structures. The machine has prominent cylindrical elements and angular designs, suggesting advanced technology or a military apparatus.

A trio of modern security cameras attached to a vertical metal pole, set against a backdrop of gray vertical lines, evoking an industrial and surveillance-themed setting.

A close-up view of a red robotic device featuring a prominent handle on top, several controls, and buttons. The design includes caution labels and the branding 'AMYbotics'. The lighting accentuates the machine's surfaces, emphasizing its industrial nature.

Data & Attack Simulation: Use public face datasets (LFW, CelebA) and generate adversarial examples (e.g., DeepFool, C&W attacks) via OpenAI API, extracting model gradients.

Entropy Detection Module: Develop an algorithm to compute gradient information entropy, dynamically analyze entropy spikes via sliding windows, and apply contrastive learning to distinguish normal/abnormal gradient patterns.

Research

Specializing in advanced research design methodologies.