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Secure Design: Secret & Credential Management
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|
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7 |
PRO |
|
Secure Design: Safe Serialization
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|
 |
7 |
PRO |
|
Secure Design: Backend Authentication Proxy
|
|
 |
7 |
PRO |
|
Secure Design: Control Placement
|
|
 |
7 |
PRO |
|
AI Fundamentals: Retrieval-Augmented Generation
|
|
 |
19 |
PRO |
|
AI Fundamentals: Tool Use & Agents
|
|
 |
19 |
PRO |
|
Instruction Hierarchy
The system prompt explicitly establishes an instruction hierarchy. Find a way to confuse or bypass the priority system.
|
|
 |
16 |
PRO |
|
AI Fundamentals: Using Models in Practice
|
|
 |
19 |
PRO |
|
AI Fundamentals: Multimodal Models
|
|
 |
17 |
PRO |
|
Polite Refusal
The model is told to refuse key requests. Use social engineering to convince it to share anyway.
|
|
 |
22 |
PRO |
|
System Prompt Extraction
The model is told to keep a secret key and refuses to reveal it directly. The rule only forbids telling the key, not repeating the instructions that contain it. Make the model recite its own system prompt and the key comes with it.
|
|
 |
33 |
PRO |
|
Encoding Request
Multiple extraction vectors are blocked. Find a creative approach the rules don't anticipate.
|
|
 |
15 |
PRO |
|
Open Door
No guardrails at all. Simply ask the model for the secret key.
|
|
 |
46 |
PRO |
|
AI Fundamentals: Training an LLM
|
|
 |
23 |
PRO |
|
AI Fundamentals: Limitations & Hallucinations
|
|
 |
22 |
PRO |
|
AI Fundamentals: Large Language Models
|
|
 |
24 |
PRO |
|
AI Fundamentals: Inference & Sampling
|
|
 |
23 |
PRO |
|
AI Fundamentals: Prompting
|
|
 |
22 |
PRO |
|
AI Fundamentals: Tokenization
|
|
 |
25 |
PRO |
|
AI Fundamentals: Classic ML Algorithms
|
|
 |
33 |
PRO |
|
AI Fundamentals: Deep Learning
|
|
 |
28 |
PRO |
|
AI Fundamentals: Overfitting & Generalization
|
|
 |
37 |
PRO |
|
AI Fundamentals: Neural Networks
|
|
 |
32 |
PRO |
|
AI Fundamentals: Transformers & Attention
|
|
 |
25 |
PRO |
|
AI Fundamentals: Embeddings & Vectors
|
|
 |
27 |
PRO |
|
AI Fundamentals: Evaluating Models
|
|
 |
33 |
PRO |
|
AI Fundamentals: How Models Learn
|
|
 |
45 |
PRO |
|
AI Fundamentals: Introduction
|
|
 |
66 |
PRO |
|
AI Fundamentals: Types of Machine Learning
|
|
 |
47 |
PRO |
|
AI Fundamentals: Data, Features & Labels
|
|
 |
55 |
PRO |