ICADCML 2021 A Novel Approach to Encrypt Data using Deep Neural Networks
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Updated
Mar 25, 2023 - Python
ICADCML 2021 A Novel Approach to Encrypt Data using Deep Neural Networks
Final year project. A GAN based approach to encrypt communication between two symmetrically secure parties.
Implementation of "Learning to Protect Communications with Adversarial Neural Cryptography" in PyTorch
A repository with work on neural cryptography
Hyperparameter Optimization of Tree Parity Machines to Minimize the Effectiveness of Unconventional Attacks on Neural Cryptography.
Tree parity machine implementation in c++11
Secure communication system combining Tree Parity Machine neural cryptography, AES-256-GCM authenticated encryption, and a Random Forest IDS that detects MITM and replay attacks in real time.
A neural network-based encryption system built with TensorFlow and Keras. It securely transforms plaintext into ciphertext and back, providing strong protection against cryptanalysis and adversarial attacks. Scalable for real-time communication and cloud storage.
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