This commit is contained in:
Almog Langleben
2025-11-16 20:13:16 +02:00
@@ -124,7 +124,7 @@ Addresses the internal behavior and lifecycle of AI models:
- Inference-time decision making
**Key Threats**
- **Model & Data Poisoning (LLM04)**
- Model & Data Poisoning (LLM04)
- Inversion & Membership Inference Attacks
- Bias, Discrimination & Fairness Issues
- Model Exfiltration (API or runtime)
@@ -169,7 +169,7 @@ Covers the full lifecycle of data used to train, fine-tune, and evaluate models:
- Labeling & preprocessing
**Key Threats**
- **Data Poisoning (LLM04)**
- Data Poisoning (LLM04)
- Training Data Leakage
- Toxic, Biased, or Unrepresentative Data
- Bias Introduction During Preprocessing