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.
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.
Tree parity machine implementation in c++11
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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