"Generating a New Reality: From Autoencoders and Adversarial Networks to Deepfakes"

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Book	Author(s)	Year	Publisher
Generating a New Reality: From Autoencoders and Adversarial Networks to Deepfakes	Micheal Lanham	1st ed.	Apress
Generative Adversarial Networks Projects	Kailash Ahirwar	2018-10-31	Packt Publishing
Generative Adversarial Networks with Python	Jason Brownlee	2020
Generating Random Networks and Graphs	Ton Coolen; Alessia Annibale; Ekaterina Roberts	2017	Oxford University Press
Generative Adversarial Networks for Image-to-Image Translation	Anand Nayyar; Arun Solanki and Mohd Naved	2021	Academic Press
Generative Adversarial Networks for Image Generation	Xudong Mao; Qing Li	1st ed. 2021	Springer Nature Singapore
Industrial Networks (Routledge Revivals): A New View of Reality	B Axelsson; G Easton	1992	Routledge
DeepFakes: Creation, Detection, and Impact	Loveleen Gaur	2022	Routledge
GANs in Action: Deep learning with Generative Adversarial Networks	Jakub Langr, Vladimir Bok	2019	Manning Publications
GANs in Action: Deep learning with Generative Adversarial Networks	Jakub Langr, Vladimir Bok	2019	Manning Publications
Hands-On Generative Adversarial Networks with PyTorch 1. x	John Hany, Greg Walters	2019	Packt Publishing
Handbook of Digital Face Manipulation and Detection: From DeepFakes to Morphing Attacks	Christian Rathgeb; Ruben Tolosana; Ruben Vera-Rodriguez; Christoph Busch	1st ed. 2022	Springer International Publishing
Entrepreneurial leadership: a practical guide to generating new business	Angelo Mastrangelo	2016	Praeger
Generating new-product ideas	E. Patrick McGuire	1972	Conference Board
Deepfakes: the coming infocalypse /	Schick, Nina,		Grand Central Publishing
From Truth to Reality: New Essays in Logic and Metaphysics	Heather Dyke	2008	Routledge
Generating Plans from Proofs	Michael Benedikt; Julien Leblay; Balder ten Cate; Efthymia Tsamoura		Springer International Publishing
Adversarial Design	Carl DiSalvo	2012	MIT Press
Adversarial design	Carl DiSalvo	2012	MIT Press
Adversarial Design	Carl DiSalvo	2012	MIT Press,
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Adversarial Networks and Autoencoders		Deep Learning Cookbook: Practical Recipes to Get Started Quickly	Osinga, Douwe	2018	O'Reilly Media, Inc
Autoencoders, Variational Autoencoders, and Generative Adversarial Networks		Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python	Iffat Zafar; Giounona Tzanidou; Richard Burton; Nimesh Patel; Leonardo Araujo	2018	Packt Publishing Ltd
Variational Autoencoders and Generative Adversarial Networks		Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow	Magnus Ekman	2021	Addison-Wesley Professional
Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks	Siao Sun; Fusheng Wang; Sina Rashidian; Tahsin Kurc; Kayley Abell-Hart; Janos Hajagos et al.	Heterogeneous Data Management, Polystores, and Analytics for Healthcare: VLDB Workshops, Poly 2021 and DMAH 2021, Virtual Event, August 20, 2021, Revised Selected Papers	El Kindi Rezig; Vijay Gadepally; Timothy Mattson; Michael Stonebraker; Tim Kraska; Fusheng Wang; Gang Luo; Jun Kong; Alevtina Dubovitskaya	1st ed. 2021	Springer International Publishing
35 Adversarial Autoencoders (AAE)		Image recognition: progress, trends and challenges	(College teacher) S. Ramakrishnan (editor); Charles Z. Liu (editor)	2020	Nova Science Publishers
35 Adversarial Autoencoders (Aae)		Image Recognition: Progress, Trends and Challenges	Charles Z. Liu (editor), S. Ramakrishnan (editor)	2020	Nova Science Pub Inc
Generating handwritten digits with generative adversarial networks	Juan De Dios Santos Rivera	Practical TensorFlow. js: Deep Learning in Web App Development	Juan De Dios Santos Rivera	1st ed.	Apress
Generating Adversarial Texts for Recurrent Neural Networks	Chang Liu; Wang Lin; Zhengfeng Yang	Artificial Neural Networks and Machine Learning – ICANN 2020: 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I	Igor Farkaš; Paolo Masulli; Stefan Wermter	1st ed. 2020	Springer International Publishing
Generating Adversarial Examples by Adversarial Networks for Semi-supervised Learning	Yun Ma; Xudong Mao; Yangbin Chen; Qing Li	Web Information Systems Engineering – WISE 2019: 20th International Conference, Hong Kong, China, January 19–22, 2020, Proceedings	Reynold Cheng; Nikos Mamoulis; Yizhou Sun; Xin Huang	1st ed. 2019	Springer International Publishing
Generating images with autoencoders		Deep learning cookbook practical recipes to get started quickly	Osinga, Douwe	2018	O'Reilly Media
Adversarial Networks		Computer Vision: A Reference Guide	Katsushi Ikeuchi	2nd ed. 2021	Springer International Publishing
Adversarial Networks		Algorithms for Decision Making	Mykel J. Kochenderfer; Tim A. Wheeler; Kyle H. Wray	2020
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously	Kyungjune Baek; Duhyeon Bang; Hyunjung Shim	Computer Vision – ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part I	C. V. Jawahar; Hongdong Li; Greg Mori; Konrad Schindler	1st ed. 2019	Springer International Publishing
Deepfakes for Video Conferencing Using General Adversarial Networks (GANs) and Multilingual Voice Cloning	Jayesh Shelar; Dipak Ghatole; Mayank Pachpande; Dhanashree Bhandari; S. V. Shinde	Computational Intelligence in Data Mining: Proceedings of ICCIDM 2021	Janmenjoy Nayak; H.S. Behera; Bighnaraj Naik; S. Vimal; Danilo Pelusi	1st ed. 2022	Springer Nature Singapore
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems	Nataniel Ruiz; Sarah Adel Bargal; Stan Sclaroff	Computer Vision – ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part IV	Adrien Bartoli; Andrea Fusiello	1st ed. 2020	Springer International Publishing
Generating Adversarial Text Samples	Suranjana Samanta; Sameep Mehta	Advances in Information Retrieval: 40th European Conference on IR Research, ECIR 2018, Grenoble, France, March 26-29, 2018, Proceedings	Gabriella Pasi; Benjamin Piwowarski; Leif Azzopardi; Allan Hanbury	1st ed. 2018	Springer International Publishing
Generating Images with Variational Autoencoders		Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning	Bharath Ramsundar	2018	O'Reilly Media
Optical Networks: from Myth to Reality	Goff Hill	Photonic Networks: Advances in Optical Communications	Giancarlo Prati	1997	Springer London
Text to Image Synthesis Using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks	Haileleol Tibebu; Aadin Malik; Varuna De Silva	Intelligent Computing: Proceedings of the 2022 Computing Conference, Volume 1	Kohei Arai	1st ed. 2022	Springer International Publishing
DeepFakes	Loveleen Gaur; Jyoti Rana; Amlan Chakrabarti	DeepFakes: Creation, Detection, and Impact	Loveleen Gaur	2022	Routledge
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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