Adversarial Artificial Intelligence (AI)/ Machine Learning (ML) Challenge
Imaging technology (digital cameras, mobile phones, etc.) has become ubiquitous, allowing people to take and share images and video instantaneously. The rise in digital imagery comes with the ability for even relatively unskilled users to manipulate and distort the message of the digital media. This kind of digital manipulation is often used for adversarial purposes, such as propaganda or misinformation campaigns.
This manipulation of digital media is enabled by the wide scale availability of adversarial machine learning algorithms or generative adversarial networks (GANS) that permit editing in ways that are very difficult to detect either visually or with current image analysis and visual media forensics tools. In addition to specific U.S. Army imaging/video concerns, there are a wide variety of misinformation/disinformation use cases that can also be directly relevant to COVID-19 campaigns designed to mislead and endanger U.S. Citizens.
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We need your assistance to help address issues that confront citizens across Virginia and the Nation. iDISPLA is the first large scale democratization of an innovation/opportunity pilot and the foundation for an innovation culture that starts in our communities and paves the way for solutions to real-life problems.
- You have the chance to help other citizens by leveraging your own brilliance/creativity
- If you have one of the top solution ideas, you can brief your idea directly to government leaders
- Collaborate with others in Communities of Interest to network in new ways
- Have the potential to win valuable awards
We invite you to submit solutions to the four challenges listed below. All submitted solutions will be evaluated by
subject matter experts, and the individuals with the top solution ideas will have the opportunity to brief their concepts to the following leaders:
Carlos Rivero, Chief Data Officer for the Commonwealth of Virginia
Dr. Nibir Dhar, Chief Scientist for Science & Technology of U.S. Army C5ISR Center Night Vision & Electronic Sensors Directorate
Christopher Bourne, Assistant Secretary of Innovation, U.S. Housing & Urban Development