# fuzzing
標記為「fuzzing」的 16 篇文章
AI Exploit Development
Adversarial suffix generation, gradient-free optimization, WAF-evading injection payloads, and fuzzing frameworks for AI systems.
Red Teaming Automation
Frameworks and tools for automating AI red teaming at scale, including CART pipelines, jailbreak fuzzing, regression testing, and continuous monitoring.
Fuzzing LLM Applications
Applying fuzzing methodologies to LLM applications including grammar-based fuzzing, mutation-based fuzzing, and coverage-guided approaches.
Fuzzing LLM Safety Boundaries
Building grammar-based fuzzers, evolutionary search for jailbreaks, ASR measurement, and automated safety boundary mapping.
Lab: Build an AI Fuzzing Harness
Create a systematic fuzzing framework for testing LLM boundaries, generating and mutating inputs to discover unexpected model behaviors and safety edge cases.
Lab: Introduction to LLM Fuzzing
Learn the basics of fuzzing LLM inputs by mutating prompts to discover unexpected behaviors and edge cases.
API Parameter Fuzzing for LLMs
Systematically fuzz LLM API parameters to discover unexpected behaviors and bypasses.
Burp Suite for AI APIs
Using Burp Suite to intercept, analyze, and fuzz LLM API calls: proxy setup, intercepting streaming responses, parameter fuzzing with Intruder, and building custom extensions for AI-specific testing.
AI Exploit 開發
對抗後綴生成、無梯度最佳化、規避 WAF 之注入 payload，以及對 AI 系統之 fuzzing 框架。
紅隊自動化
大規模自動化 AI 紅隊的框架與工具，涵蓋 CART 管線、越獄模糊測試、回歸測試與持續監控。
Fuzzing LLM Applications
Applying fuzzing methodologies to LLM applications including grammar-based fuzzing, mutation-based fuzzing, and coverage-guided approaches.
Fuzzing LLM Safety Boundaries
Building grammar-based fuzzers, evolutionary search for jailbreaks, ASR measurement, and automated safety boundary mapping.
實驗室: Build an AI Fuzzing Harness
Create a systematic fuzzing framework for testing LLM boundaries, generating and mutating inputs to discover unexpected model behaviors and safety edge cases.
實驗室: 介紹 to LLM Fuzzing
Learn the basics of fuzzing LLM inputs by mutating prompts to discover unexpected behaviors and edge cases.
API Parameter Fuzzing for LLMs
Systematically fuzz LLM API parameters to discover unexpected behaviors and bypasses.
Burp Suite for AI APIs
Using Burp Suite to intercept, analyze, and fuzz LLM API calls: proxy setup, intercepting streaming responses, parameter fuzzing with Intruder, and building custom extensions for AI-specific testing.