Publications

Paper Authors: Akshat Gupta, Laxman Singh Tomar, Ridhima Garg Abstract Cyber attacks deceive machines into believing something that does not exist in the first place. However, there are some to which even humans fall prey. One such famous attack that attackers have used over the years to exploit the vulnerability of vision is known to be a Homoglyph attack. It employs a primary yet effective mechanism to create illegitimate domains that are hard to differentiate from legit ones. Moreover, as the difference is pretty indistinguishable for a user to notice, they cannot stop themselves from clicking on these homoglyph domain names. ...

View on Packt · GitHub Publisher: Packt Publishing Author: Akshat Gupta About the Book Hands-on Deep Learning with TensorFlow 2.0 is a practical guide to building, training, and deploying deep learning models using TensorFlow 2.0 and Keras. The book is designed for practitioners who want to move beyond theory and build real neural network systems from scratch. What It Covers Neural network fundamentals — perceptrons, activation functions, backpropagation CNNs — convolutional layers, pooling, image classification pipelines RNNs and LSTMs — sequence modelling, text classification, time series Transfer learning — fine-tuning pre-trained models for custom tasks Model deployment — TensorFlow Serving, SavedModel format, production considerations TensorFlow 2.0 specifics — eager execution, tf.function, Keras functional API Who It’s For Developers and data scientists who are comfortable with Python and want a hands-on introduction to deep learning using one of the most widely adopted frameworks in industry. ...