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- The Role of Technology in Online Misinformation Sarah Kreps
- Deep Fakes Understanding the Illicit Economy for Synthetic Media
- Fighting Deepfakes by Detecting GAN DCT Anomalies
- Face/Off: “Deepfake” Face Swaps and Privacy Laws
- Deepfakes Are Powerful Tools That Can Be Used for Exploitation and Disinformation
- The Impact of Artificial Intelligence on Strategic Stability and Nuclear Risk Volume I Euro-Atlantic Perspectives Edited by Vincent Boulanin
- The Ethics of Artificial Intelligence: Issues and Initiatives
- Image to Image Translation Using Generative Adversarial Network
- Towards Generalizable Deepfake Detection with Locality-Aware Autoencoder
- The Next Generation of Cyber-Enabled Information Warfare
- Interpretable and Trustworthy Deepfake Detection Via Dynamic Prototypes
- Icaps-Dfake: an Integrated Capsule-Based Model for Deepfake Image and Video Detection
- Deepfakes: Trick Or Treat?
- GAO-20-379SP, Science & Tech Spotlight: Deepfakes
- In Search of a Generic Deepfake Detector
- An Open Platform for Deepfake Detection
- AI Watch Historical Evolution of Artificial Intelligence
- Deepfakes Generation Using LSTM Based Generative Adversarial Networks
- Tackling Deepfakes in European Policy
- Toward Fairness in AI for People with Disabilities: a Research Roadmap
- Defaking Deepfakes: Understanding Journalists’ Needs for Deepfake Detection
- Fake News and Deepfakes: a Dangerous Threat for 21St Century Information Security
- Noisescope: Detecting Deepfake Images in a Blind Setting
- Written Testimony of Jack Clark Policy Director Openai HEARING ON
- Deepfakes Detection Techniques Using Deep Learning: a Survey
- A New Deep Learning-Based Methodology for Video Deepfake Detection Using Xgboost
- Deepfake Video Detection Using Recurrent Neural Networks
- Deepfakenet, an Efficient Deepfake Detection Method
- The Weaponisation of Synthetic Media: What Threat Does This Pose to National Security?
- Fighting Deepfakes Using Body Language Analysis
- Toward AI Security
- The Deepfake Detection Challenge: Insights and Recommendations for AI and Media Integrity March 12, 2020 Contents
- Detect Forgery Video by Performing Transfer Learning on Deep
- An Ensemble of Cnns for Deepfakes Detection
- A Facial Recognition-Based Video Encryption Approach to Prevent Fakedeep Videos
- Noisescope: Detecting Deepfake Images in a Blind Setting
- Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples
- An Exploration of Artificial Intelligence (AI) Marketing Practitioner Perceptions and Practices
- Arxiv:2008.00036V2 [Cs.CL] 6 May 2021
- Bert Transformer Model for Detecting Arabic GPT2 Auto-Generated Tweets
- Algorithms and Terrorism: the Malicious Use of Artificial
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- Neural Deepfake Detection with Factual Structure of Text
- The Future of Online Trust (And Why Deepfake Is Advancing It)
- Arxiv:2006.14749V1 [Cs.CV] 26 Jun 2020 Mentioned in the Following Section
- Deepfakes: a New Threat to Face Recognition? Assessment and Detection Pavel Korshunov and Sebastien´ Marcel
- LOFTY PRINCIPLES, CONFLICTING INTERESTS AI Ethics and Governance in China
- Deep Insights of Deepfake Technology
- The State of Deepfakes: Landscape, Threats, and Impact, Henry Ajder, Giorgio Patrini, Francesco Cavalli, and Laurence Cullen, September 2019
- Deep Learning for Deepfakes Creation and Detection: a Survey Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Cuong M
- Using Gans to Synthesise Minimum Training Data for Deepfake Generation
- Creating a Framework for Synthetic Media Social Engineering
- Fair Learning
- Deepfakes Generation and Detection: State-Of-The-Art, Open Challenges, Countermeasures, and Way Forward