Deep Media Unveils Groundbreaking Deepfake Detection Dataset, Setting New Industry Benchmark

August 19, 2024 11:00 PM AEST | By EIN Presswire

Google News:

Deep Media Unveils Groundbreaking Deepfake Detection Dataset, Setting New Industry Benchmark — Image source: EIN Presswire

Recent News

ASX 200 Sees Broad Decline as Gold and Mining Stocks Fall

Commonwealth Bank of Australia Rises on ASX 200 Amid Banking Strength

Potential fee misses at Nordic banks may catch attention this quarter...

Banks Drive ASX 200 as Miners Retreat on Commodity Weakness

Leading AI Disinformation security firm launches comprehensive dataset to combat AI-generated disinformation, achieving highest accuracy in deepfake detection

Our dataset and benchmark results represent a significant milestone in the fight against digital deception. We're setting a new standard for transparency and effectiveness in deepfake detection.”

— Rijul Gupta, CEO and Founder, Deep Media

SAN FRANCISCO, CALIFORNIA, UNITED STATES, August 19, 2024 /EINPresswire.com/ -- Deep Media, a global leader in AI Disinformation Security, today announced the release of its Deepfake Detection In-The-Wild Benchmark Dataset, setting a new gold standard for the identification of AI-generated images. This groundbreaking dataset, comprising 3,000 meticulously curated images, represents a significant leap forward in the ongoing battle against digital deception.

In a time where the line between real and synthetic media is increasingly blurred, Deep Media's initiative comes at a crucial time. The dataset is designed to challenge and improve deepfake detection methods across the industry, focusing on hyper-realistic AI-generated images that pose genuine risks to governments, industries, and individuals.

"As AI-generated content becomes more sophisticated, the need for robust detection methods has never been more critical," said Rijul Gupta, CEO and founder of Deep Media. "Our new dataset provides a standardized, up-to-date testing ground that reflects the current state of the art in AI-generated imagery."

Key features of the dataset include:
+ Comprehensive and diverse content, evenly split between real and AI-generated images

+ Advanced analysis techniques, including CLIP embeddings and k-means clustering

+ Innovative Confusion Matrix-PCA Hybrid visualization for unprecedented performance insights

Using this dataset, Deep Media's proprietary DeepID detection system has achieved remarkable results, including highest-ever achieved overall accuracy and a 0.96 ROC AUC score. These benchmarks set a new standard for the industry, demonstrating what's possible in the fight against deepfakes.

The dataset is the result of collaborative efforts with prestigious institutions, including Purdue University, the University at Buffalo, and SRI International. It addresses the pressing need for updated benchmarks in a rapidly evolving field, where many still rely on outdated standards from 2022.

Deep Media is making this dataset available to researchers, government agencies, and tech companies worldwide, encouraging collaboration in the fight against AI disinformation. The company is committed to continually updating the dataset to ensure it remains at the cutting edge of generative AI capabilities.

For more information about the Deepfake Detection In-The-Wild Benchmark Dataset or to request access, please visit www.deepmedia.ai or contact [email protected].

https://deepmediaai.notion.site/Deepfake-Detection-in-GenAI-Images-In-The-Wild-Benchmark-and-Accuracy-Report-bd4c3781f13b498b961586323458b285

About Deep Media: Deep Media is a leading AI security firm specializing in deepfake detection and AI disinformation prevention. With a commitment to preserving digital truth, Deep Media provides cutting-edge solutions to governments, enterprises, and tech platforms worldwide.

Research
Deep Media, Inc.
+1 405-765-3169
email us here
Visit us on social media:
X
LinkedIn

Disclaimer

The content, including but not limited to any articles, news, quotes, information, data, text, reports, ratings, opinions, images, photos, graphics, graphs, charts, animations and video (Content) is a service of Kalkine Media Pty Ltd (“Kalkine Media, we or us”), ACN 629 651 672 and is available for personal and non-commercial use only. The principal purpose of the Content is to educate and inform. The Content does not contain or imply any recommendation or opinion intended to influence your financial decisions and must not be relied upon by you as such. Some of the Content on this website may be sponsored/non-sponsored, as applicable, but is NOT a solicitation or recommendation to buy, sell or hold the stocks of the company(s) or engage in any investment activity under discussion. Kalkine Media is neither licensed nor qualified to provide investment advice through this platform. Users should make their own enquiries about any investments and Kalkine Media strongly suggests the users to seek advice from a financial adviser, stockbroker or other professional (including taxation and legal advice), as necessary.
The content published on Kalkine Media also includes feeds sourced from third-party providers. Kalkine does not assert any ownership rights over the content provided by these third-party sources. The inclusion of such feeds on the Website is for informational purposes only. Kalkine does not guarantee the accuracy, completeness, or reliability of the content obtained from third-party feeds. Furthermore, Kalkine Media shall not be held liable for any errors, omissions, or inaccuracies in the content obtained from third-party feeds, nor for any damages or losses arising from the use of such content.
Kalkine Media hereby disclaims any and all the liabilities to any user for any direct, indirect, implied, punitive, special, incidental or other consequential damages arising from any use of the Content on this website, which is provided without warranties. The views expressed in the Content by the guests, if any, are their own and do not necessarily represent the views or opinions of Kalkine Media. Some of the images/music that may be used on this website are copyrighted to their respective owner(s). Kalkine Media does not claim ownership of any of the pictures displayed/music used on this website unless stated otherwise. The images/music that may be used on this website are taken from various sources on the internet, including paid subscriptions or are believed to be in public domain. We have made reasonable efforts to accredit the source wherever it was indicated as or found to be necessary.
This disclaimer is subject to change without notice. Users are advised to review this disclaimer periodically for any updates or modifications.