The Tactics of Deepfake Creators - Deepstash
The Tactics of Deepfake Creators

The Tactics of Deepfake Creators

Curated from: trajectorymatrix.substack.com

Ideas, facts & insights covering these topics:

5 ideas

·

614 reads

4

1

Explore the World's Best Ideas

Join today and uncover 100+ curated journeys from 50+ topics. Unlock access to our mobile app with extensive features.

What is Deepfake?

What is Deepfake?

Deepfake is an advanced digital manipulation technique that uses artificial intelligence algorithms, specifically machine learning and neural networks, to create realistic-looking fake videos or images (synthetic media). These manipulated media can convincingly depict people doing or saying things that never actually occurred in reality.

Read the entire article here.

8

146 reads

Deepfake Generation

Deepfake Generation

Deepfake creators are continually refining their techniques to evade detection. They leverage advancements in AI, particularly in machine learning and neural networks, to improve the realism of deepfakes. As detection methods become more sophisticated, so will the generation techniques, resulting in a perpetual cat-and-mouse game.

7

135 reads

Key Data

Key Data

  • Researchers predict that by 2026, as much as 90% of online content could be synthetically generated.
  • In 2024, disinformation has been identified as a leading global threat, with the use of deepfakes standing out as one of the most concerning applications of AI.
  • The amount of deepfake content online surged by 900% from 2019 to 2020.
  • The deepfake AI market is experiencing significant growth, with forecasts predicting a jump from USD 7.0 billion in 2024 to USD 38.5 billion by 2030, driven by a strong CAGR of 33.5%.

8

111 reads

The Detection Methods Used by Experts to Identify Deepfake

The Detection Methods Used by Experts to Identify Deepfake

1. Deep Learning Algorithms

2. Forensic Analysis

3. Digital Watermarking

4. Blockchain Technology

5. Biometric Comparison

6. Audio Analysis

7. Liveness Detection

8. Multifactor Authentication

9. Sentinel & FakeCatcher

10. WeVerify & Microsoft’s Video Authenticator Tool

7

110 reads

How do Deepfake Creators Evade the Anti-Fraud Measures?

How do Deepfake Creators Evade the Anti-Fraud Measures?

Improving Resolution, Better Face-Swapping Techniques, Refining Audio, GAN Refinement, and Adaptive Learning are some of the tactics they follow to dodge the detection methods.

7

112 reads

IDEAS CURATED BY

trajecmatrix

Exploring the 'why' and 'how' behind the 'what'.

CURATOR'S NOTE

Outsmarting the algorithms to always stay one step ahead.

Read & Learn

20x Faster

without
deepstash

with
deepstash

with

deepstash

Personalized microlearning

100+ Learning Journeys

Access to 200,000+ ideas

Access to the mobile app

Unlimited idea saving

Unlimited history

Unlimited listening to ideas

Downloading & offline access

Supercharge your mind with one idea per day

Enter your email and spend 1 minute every day to learn something new.

Email

I agree to receive email updates