使用C++实现机器学习算法：安全性考虑和最佳实践

#include <botan/botan.h>

class SecureCNN {
public:
    void train(const vector<Image>& images, const vector<Label>& labels) {
        // 加密图像和标签数据
        Botan::Cipher_Block cipher("AES-256");
        cipher.set_key("super secret key");
        vector<EncryptedImage> encrypted_images;
        vector<EncryptedLabel> encrypted_labels;
        for (const auto& image : images) {
            encrypted_images.push_back(cipher.process(image));
        }
        for (const auto& label : labels) {
            encrypted_labels.push_back(cipher.process(label));
        }

        // 训练加密后的模型
        EncryptedModel model;
        model.train(encrypted_images, encrypted_labels);

        // 保存加密后的模型
        model.save("encrypted_model.bin");
    }

    void predict(const Image& image) {
        // 加密图像数据
        Botan::Cipher_Block cipher("AES-256");
        cipher.set_key("super secret key");
        EncryptedImage encrypted_image = cipher.process(image);

        // 使用加密后的模型进行预测
        EncryptedLabel encrypted_label;
        encrypted_label = model.predict(encrypted_image);

        // 解密预测标签
        Botan::Cipher_Block decipher("AES-256");
        decipher.set_key("super secret key");
        Label label = decipher.process(encrypted_label);

        return label;
    }
};