We use cookies to ensure that you have the best experience on our site.

What is Cybersecurity?

Cybersecurity encompasses strategies, technologies, and practices designed to protect networks, systems, and data from cyber threats. It involves encryption, authentication, and intrusion detection to mitigate security risks.

Additive noise differential privacy mechanisms
Additive noise differential privacy mechanisms are techniques used to protect individual data privacy by adding controlled noise to datasets. This method ensures that the output of data analysis remains useful while safeguarding sensitive information from re-identification attacks.
Deep Learning
Deep learning is a subset of machine learning that uses neural networks with multiple layers to process complex data patterns. It powers AI applications such as image recognition, speech synthesis, natural language understanding, and generative models. Frameworks like TensorFlow, PyTorch, and Keras enable deep learning advancements in fields like healthcare, finance, and automation.
Adversarial machine learning
Adversarial machine learning is a technique used to manipulate AI models by introducing deceptive inputs. These attacks exploit vulnerabilities in models, leading to incorrect predictions or decisions. Adversarial defenses, such as robust training methods, are developed to mitigate these risks.