All Topics
All Topics
Technology
Technology
Design
Design
Programming
Programming
Science
Science
News
News
Gaming
Gaming
Entertainment
Entertainment
Business
Business
Finance
Finance
Sports
Sports
Health
Health
Food
Food
Travel
Travel
Art
Art
Music
Music
Books
Books
Education
Education
Politics
Politics
Personal
Personal
No algorithm. No AI slop. No ads. Just RSS. Pro-human. Indie writers. Real journalism. Open web. Chronological. Hand toasted.

Cornell Researchers Develop Light Watermarking to Detect Fake Videos

By

CharlesW

10mo ago· 5 min readenNews

Summary

Cornell researchers have developed a method to embed hidden watermarks in light fluctuations within videos, enabling detection of manipulated or fake content. This innovation aims to combat misinformation by marking important events or locations with nearly invisible lighting changes, which are recorded as watermarks in videos.

Key quotes

· 3 pulled
Fact-checkers may have a new tool in the fight against misinformation.
The idea is to hide information in nearly-invisible fluctuations of lighting at important events and locations.
These fluctuations are designed to go unnoticed by humans, but are recorded as a hidden watermark in any video captured under the special lighting.
Snippet from the RSS feed
A team of Cornell computer science researchers has developed a way to “watermark” light in videos, which they can use to detect if video is fake or has been manipulated, another potential tool in the fight against misinformation.

You might also wanna read

Study finds LLMs persist in treating false claims as true despite explicit warnings

A study on fine-tuning large language models (LLMs) reveals that even after explicit warnings that certain claims are false, the models cont

arstechnica.com·1d ago

The Noisy Room: How a Toxic Minority Distorts Our Perception of Social Media

This interactive essay examines how a tiny minority of users posting severely toxic content on social media creates widespread misperception

thenoisyroom.com·20d ago

Research Shows LLMs Vulnerable to "Grooming" Attacks That Exploit Poor Reasoning to Spread Falsehoods

Research reveals that generative AI chatbots lack the reasoning capabilities needed to counter "LLM grooming" — the mass-production and dupl

americansunlight.substack.com·10mo ago

Study Shows Weight Decay During Pretraining Improves Language Model Adaptability After Fine-Tuning

This research paper investigates how weight decay during pretraining of large language models affects their downstream adaptability (plastic

arxiv.org·57m ago

New Quantum Oblivious Transfer Protocol Achieves Simulation Security with One-Way Functions

This paper presents a new simulation-secure quantum oblivious transfer (QOT) protocol built on one-way functions in the plain model. The pro

quantum-journal.org·59m ago

From Plant Pathogens to Genome Editors: The Biotechnology Journey of TALEs and TALENs

This article reviews how TALEs (transcription activator-like effectors), originally discovered as bacterial proteins that Xanthomonas pathog

doi.org·1h ago