Customer & Sales Support
Our executive will get in touch with you.
Such is the case with a certain AI-based technique called "deepfake" (combination of "deep learning" and "fake"), which uses deep neural networks to easily create fake videos in which the face of one person is superimposed on that of another. These tools are easy to use, even for people with no background in programming or video editing. This technique can be used to create compromising videos of virtually anyone, including celebrities, politicians, and corporate public figures. In this era of unprecedented connectedness and instant communication-when news can become viral in a matter of hours-such videos can cause great harm to those in the videos as well as to the social and cultural psyche of the associated communities.
AI to the rescue "Deepfakes" are out there. But the harm can be mitigated if these videos can be automatically detected. And what better way to do that than to use AI itself? While AI-based deepfake video detection methods do exist, researchers from Thapar Institute of Engineering and Technology and Indraprastha Institute of Information Technology in India have developed a new algorithm with increased accuracy and precision. Their work could be a milestone in the quest to counter one of the many kinds of infodemics that we face today. Broadly, their approach consists of a classifier that decides whether an input video is real or (deep) fake. To make accurate decisions possible, like all AI-based applications, their
The algorithm itself can be divided into two levels. At the first level, the video frames undergo some light image processing, such as rescaling, zooming, and horizontal flipping, as preparation for subsequent stages. The second level comprises two main components: a convolutional neural network (CNN) and a long short-term memory (LSTM) stage. The CNN is a special type of neural network that can automatically extract features from sequential video frames. What features are extracted and how they are defined is known only to the CNN. The LSTM is a type of recurrent neural network that is especially useful for processing time-series data (in this case, sequential video frames). Upon comparing the original and deepfake videos, the LSTM network easily detects inconsistencies in the frames of the latter. The algorithm can identify them using only about two seconds of video material.
AI to the rescue The performance of this new method was tested and compared with that of other existing state-of-the-art AI-based techniques for detecting deepfake videos. For a total of 181,608 real and deepfake frames retrieved from the dataset of videos collated in this study, the proposed method achieved higher accuracy (98.21%) and precision (99.62%), with a much lower total training time.
Get tailored solutions to support security operations across the digital enterprise, while monitoring and responding to the evolving threat landscape.
Deploy a variety of identity solutions, from provisioning and access governance to strong authentication and public key infrastructure.
Protect critical data and meet constantly increasing privacy requirements such as the General Data Protection Regulation (GDPR).
Meet unique security requirements through design, installation and integration of perimeter, network, endpoint and advanced threat-protection solutions.
Amazon Web Services (AWS) began offering IT infrastructure services to businesses in the form of web services -- now Intrisus and AWS commonly known as cloud computing partners. One of the key benefits of this partnership is to replace up-front capital infrastructure expenses with low variable costs that scale with your business.
Intrisus Labs and Cisco Webex products provide core collaboration capabilities, including video meetings, team messaging and file sharing. The suite is considered a leading collaboration platform in the unified communications and is geared toward small group collaboration as well as enterprise-wide deployments.
HPE is a global, edge-to-cloud Platform-as-a-Service company built to transform your business. How? By helping you connect, protect, analyze, and act on all your data and applications wherever they live, from edge to cloud, so you can turn insights into outcomes at the speed required to thrive in today’s complex world.
Intrisus corporation is the exclusive partner for APAC for Fireeye. FireEye is a publicly traded cybersecurity company headquartered in Milpitas, California.It has been involved in the detection and prevention of major cyber attacks. It provides hardware, software, and services to investigate cybersecurity attacks, protect against malicious software, and analyze IT security risks.
Sophos evolves to meet every new challenge, protecting nearly 400,000 organizations of all sizes in more than 150 countries from today’s most advanced cyber threats. We now bring that same always-evolving belief to home users. At Sophos, we want to make sure the same level of protection we provide businesses is available to everyone.