📖 Step 9: AI/LLM#308 / 350
Data Poisoning
Data Poisoning
📖One-line summary
An attack that intentionally corrupts training data to manipulate model behavior.
💡Easy explanation
An attack that sneaks bad data into training sets to corrupt the model. Like slipping poison into food — even a small amount can cause wrong behavior.
✨Example
학습 데이터에 독을 타는 공격
정상 데이터 ✓ ✓ ✓ ✓ ✓
오염 데이터 ☠️ ← 공격자 삽입
정상 데이터 ✓ ✓ ✓ ✓ ✓
⚠️ 모델이 잘못된 패턴 학습