Defense Advanced Research Projects AgencyTagged Content List

Technologies for Trustworthy Computing and Information

Confidence in the integrity of information and systems

Showing 53 results for Trust RSS
A zero-knowledge (ZK) proof is an interactive protocol between a prover and a verifier. The prover creates a statement that they want the verifier to accept, using knowledge that will remain hidden from the verifier. Recent research has substantially increased the efficiency of ZK proofs, enabling real-world use, primarily by cryptocurrencies. While useful for cryptocurrencies, the ZK proofs created are specialized for this task and do not necessarily scale for transactions that are more complex. For highly complex proof statements like those that the Department of Defense (DoD) may wish to employ, novel and more efficient approaches are needed.
Media generation and manipulation technologies are advancing rapidly and purely statistical detection methods are quickly becoming insufficient for identifying falsified media assets. Detection techniques that rely on statistical fingerprints can often be fooled with limited additional resources (algorithm development, data, or compute).
| AI | Analytics | Trust |
With the spread of blogs, social networking sites and media-sharing technology, and the rapid propagation of ideas enabled by these advances, the conditions under which the nation’s military forces conduct operations are changing nearly as fast as the speed of thought. DARPA has an interest in addressing this new dynamic and understanding how social network communication affects events on the ground as part of its mission of preventing strategic surprise.
As new defensive technologies make old classes of vulnerability difficult to exploit successfully, adversaries move to new classes of vulnerability. Vulnerabilities based on flawed implementations of algorithms have been popular targets for many years. However, once new defensive technologies make vulnerabilities based on flawed implementations less common and more difficult to exploit, adversaries will turn their attention to vulnerabilities inherent in the algorithms themselves.
The Department of Defense (DoD) often leverages social and behavioral science (SBS) research to design plans, guide investments, assess outcomes, and build models of human social systems and behaviors as they relate to national security challenges in the human domain. However, a number of recent empirical studies and meta-analyses have revealed that many SBS results vary dramatically in terms of their ability to be independently reproduced or replicated, which could have real-world implications for DoD’s plans, decisions, and models. To help address this situation, DARPA’s Systematizing Confidence in Open Research and Evidence (SCORE) program aims to develop and deploy automated tools to assign "confidence scores" to different SBS research results and claims.