Optimizing ChatGPT Prompts for Enhanced Security and Efficiency
2026-06-23
Read Time: 9 minutesThreat Landscape and Adversarial Attack Vectors in AI-Powered Chat Systems import re from sklearn.inspection import permutation_importance import torch def validate_input(user_input): pattern = r’^[a-zA-Z0-9\s]{1,100}$’ # Allow alphanumeric characters and spaces up to 100 characters if re.match(pattern, user_input): return True else: return False def analyze_feature_importance(model, X_test, y_test): results = permutation_importance(model, X_test, y_test,Read More →

