Tabla de Contenidos: “…Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Chapter 1: Introduction to Shaders in Unity -- Rendering -- Game Data -- The Vertex Shader -- The Fragment Shader -- Unity's Render Pipelines -- Shader Graph -- Summary -- Chapter 2: Math for Shader Development -- Vectors -- Position and Direction Vectors -- Vector Addition and Subtraction -- Scalar Multiplication -- Vector Magnitude -- Vector Normalization -- Basis Vectors and Linear Combinations -- Dot Product -- Cross Product -- Matrices -- Matrix Addition and Subtraction -- Scalar Multiplication -- Square, Diagonal, and Identity Matrices -- Matrix Transpose -- Matrix Determinant -- Matrix Multiplication -- Matrix Inverse -- Matrix Transformations -- Scaling Matrices -- Rotation Matrices -- Translation Matrices -- Homogeneous Coordinates -- Space Transformations -- Object-to-World Space Transformation -- World-to-View Space Transformation -- View-to-Clip Space Transformation -- Perspective Divide -- Summary -- Chapter 3: Your Very First Shader -- Project Setup -- Creating a Project -- Setting Up the Scene -- Writing a Shader in Unity -- Writing ShaderLab Code -- Adding a SubShader -- SubShader Tags -- Adding a Pass -- Pragma Directives and Includes -- Controlling Data Flow with Structs -- The appdata Struct -- The v2f Struct -- Variables in HLSL -- The Vertex Shader -- The Fragment Shader -- The SRP Batcher and Constant Buffers -- Common Shader Syntax -- Scalar Types -- Vector Types -- Matrix Types -- Included Variables -- Transformation Matrices -- Time-Based Variables -- Summary -- Chapter 4: Shader Graph -- Shader Graph Overview -- Creating a Basic Shader in Shader Graph -- Scene Setup -- The Shader Graph Interface -- The Toolbar -- Togglable Windows -- The Graph Environment -- Adding Properties -- Property Naming…”

Tabla de Contenidos: “…Poisoning-assisted inference -- Attack scenarios -- Mitigations -- Example attribute inference attack -- Membership inference attacks -- Statistical thresholds for ML leaks -- Label-only data transferring attack -- Blind membership inference attacks -- White box attacks -- Attack scenarios -- Mitigations -- Example membership inference attack using the ART -- Summary -- Chapter 10: Privacy-Preserving AI -- Privacy-preserving ML and AI -- Simple data anonymization -- Advanced anonymization -- K-anonymity -- Anonymization and geolocation data -- Anonymizing rich media -- Differential privacy (DP) -- Federated learning (FL) -- Split learning -- Advanced encryption options for privacy-preserving ML -- Secure multi-party computation (secure MPC) -- Homomorphic encryption -- Advanced ML encryption techniques in practice -- Applying privacy-preserving ML techniques -- Summary -- Part 4: Generative AI and Adversarial Attacks -- Chapter 11: Generative AI - A New Frontier -- A brief introduction to generative AI -- A brief history of the evolution of generative AI -- Generative AI technologies -- Using GANs -- Developing a GAN from scratch -- WGANs and custom loss functions -- Using pre-trained GANs -- Pix2Pix -- CycleGAN -- Pix2PixHD -- Progressive Growing of GANs (PGGAN) -- BigGAN -- StarGAN v2 -- StyleGAN series -- Summary -- Chapter 12: Weaponizing GANs for Deepfakes and Adversarial Attacks -- Use of GANs for deepfakes and deepfake detection -- Using StyleGAN to generate convincing fake images -- Creating simple deepfakes with GANs using existing images -- Making direct changes to an existing image -- Using Pix2PixHD to synthesize images -- Fake videos and animations -- Other AI deepfake technologies -- Voice deepfakes -- Deepfake detection -- Using GANs in cyberattacks and offensive security -- Evading face verification…”

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