Semantic Forensics (SemaFor)

The summary for the Semantic Forensics (SemaFor) grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the DARPA Information Innovation Office, which is the U.S. government agency offering this grant.
Semantic Forensics (SemaFor): The Semantic Forensics (SemaFor) program will develop technologies to automatically detect, attribute, and characterize falsified multi-modal media assets (text, audio, image, video) to defend against large-scale, automated disinformation attacks. Statistical detection techniques have been successful, but media generation and manipulation technology is advancing rapidly. Purely statistical detection methods are quickly becoming insufficient for detecting falsified media assets. Detection techniques that rely on statistical fingerprints can often be fooled with limited additional resources (algorithm development, data, or compute). However, existing automated media generation and manipulation algorithms are heavily reliant on purely data driven approaches and are prone to making semantic errors. For example, GAN-generated faces may have semantic inconsistencies such as mismatched earrings. These semantic failures provide an opportunity for defenders to gain an asymmetric advantage. A comprehensive suite of semantic inconsistency detectors would dramatically increase the burden on media falsifiers, requiring the creators of falsified media to get every semantic detail correct, while defenders only need to find one, or a very few, inconsistencies. SemaFor seeks to develop innovative semantic technologies for analyzing media. Semantic detection algorithms will determine if media is generated or manipulated. Attribution algorithms will infer if media originates from a particular organization or individual. Characterization algorithms will reason about whether media was generated or manipulated for malicious purposes. These SemaFor technologies will help identify, deter, and understand adversary disinformation campaigns.
Federal Grant Title: Semantic Forensics (SemaFor)
Federal Agency Name: DARPA Information Innovation Office (DOD-DARPA-I2O)
Grant Categories: Science and Technology
Type of Opportunity: Discretionary
Funding Opportunity Number: HR001119S0085
Type of Funding: Grant
CFDA Numbers: 12.910
CFDA Descriptions: Information not provided
Current Application Deadline: November 21st, 2019
Original Application Deadline: November 21st, 2019
Posted Date: August 23rd, 2019
Creation Date: August 23rd, 2019
Archive Date: December 21st, 2019
Total Program Funding:
Maximum Federal Grant Award:
Minimum Federal Grant Award:
Expected Number of Awards:
Cost Sharing or Matching: No
Last Updated: August 23rd, 2019
Applicants Eligible for this Grant
Others (see text field entitled "Additional Information on Eligibility" for clarification.)
Additional Information on Eligibility
All responsible sources capable of satisfying the Government's needs may submit a proposal that shall be considered by DARPA. See the Eligibility Information section of the BAA for more information.
Link to Full Grant Announcement
FedBizOpps Announcement
Grant Announcement Contact
BAA Coordinator
HR001119S0085@darpa.mil
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