Welcome to the DARPA Open Catalog, which contains a curated list of DARPA-sponsored software and peer-reviewed publications. DARPA sponsors fundamental and applied research in a variety of areas that may lead to experimental results and reusable technology designed to benefit multiple government domains.

The DARPA Open Catalog organizes publicly releasable material from DARPA programs. DARPA has an open strategy to help increase the impact of government investments.

DARPA is interested in building communities around government-funded research. DARPA plans to continue to make available information generated by DARPA programs, including software, publications, data, and experimental results.

The table on this page lists the programs currently participating in the catalog.

Program Manager:
Mr. Wade Shen

Report a problem: opencatalog@darpa.mil

Last updated: October 7, 2016

Current Catalog Programs:

DARPA Program Office Description
AA I2O The Active Authentication (AA) program seeks to develop novel ways of validating the identity of computer users by focusing on the unique aspects of individuals through software-based biometrics. Biometrics are defined as the characteristics used to recognize individuals based on one or more intrinsic physical or behavioral traits. This program is focused on behavioral biometrics.
ADAMS I2O The Anomaly Detection at Multiple Scales (ADAMS) program seeks to create, adapt and apply technology to anomaly characterization and detection in massive data sets. Anomalies in data cue the collection of additional, actionable information in a wide variety of real world contexts.
APAC I2O The Automated Program Analysis for Cybersecurity (APAC) program aims to address the challenge of timely and robust security validation of mobile apps by first defining security properties to be measured against and then developing automated tools to perform the measuring. APAC draws heavily from the field of formal-methods program analysis (theorem proving, logic and machine proofing) to keep malicious code out of DoD Android-based application marketplaces. APAC seeks to apply recent research breakthroughs in this field in an attempt to scale DoD's program analysis capability to a level never before achieved with an automated solution.
BET I2O The objective of the Binary Executable Transforms (BET) program is to produce revolutionary technologies for analyzing executable binaries to identify and extract executable components. Executable components are defined as a fully encapsulated set of subroutines, data structures, objects and global variables that accomplish a particular function, along with metadata documenting the component's arguments and any system libraries used. Specifically, BET performers are conducting innovative research in: • Automatically analyzing binaries and identifying functional components. • Automatically slicing and extracting identified functionality into reusable components with well-defined inputs and outputs. • Combining static and dynamic binary analysis to improve understanding of binary executables. • Exploring formal verification methods to prove functional component properties. • Developing intermediate representation language to support program slicing. • Developing technologies to enable exploration and research for the BET program.
Biochronicity BTO Time is important to multiple biological processes, including circadian-regulated gene expression related to metabolic, cell cycle, and immune system functions. The overarching goals of BioChronicity are the integration of math, physics, and biology to: (1) understand time-dependent gene expression, (2) generate predictive models of complex biological systems, and (3) regulate molecular clocks to modulate clinical outcomes.
BOLT I2O The Broad Operational Language Translation (BOLT) program is aimed at enabling communication with non-English-speaking populations and identifying important information in foreign-language sources by: 1) allowing English-speakers to understand foreign-language sources of all genres, including chat, messaging and informal conversation; 2) providing English-speakers the ability to quickly identify targeted information in foreign-language sources using natural-language queries; and 3) enabling multi-turn communication in text and speech with non-English speakers. If successful, BOLT would deliver all capabilities free from domain or genre limitations.
CFT I2O The Cyber Fast Track (CFT) program sought revolutionary advances in cyber science, devices, and systems through low-cost, quick-turnaround projects. To achieve this, CFT engaged a novel performer base many of whom were new to government contracting. From August 2011 to April 2013 the program attracted 550 proposal submissions, of which 90 percent were from performers that had never previously worked with the government, and awarded 135 contracts.
CRASH I2O The Clean-Slate Design of Resilient, Adaptive, Secure Hosts (CRASH) program is focused on the design of new computer systems that are highly resistant to cyberattack, can adapt after a successful attack to continue rendering useful services, learn from previous attacks how to guard against and cope with future attacks, and can repair themselves after attacks have succeeded. This program addresses computer architectures from processors and instruction sets, includes operating systems and programming languages, and extends up to application level tools.
CSFV I2O Crowd Sourced Formal Verification (CSFV) is a DARPA program that aims to investigate whether large numbers of non-experts can perform formal verification faster and more cost-effectively than conventional processes. The goal is to transform verification into a more accessible task by creating fun, intuitive games that reflect formal verification problems. Playing the games would effectively help software verification tools complete corresponding formal verification proofs.
Cyber Defense (CyberGenome) I2O The Cyber Defense Program is developing the core computing and networking technologies required to protect DoD's information, information infrastructure, and mission-critical information systems. This includes new cyber-forensic techniques to automate the discovery, identification, and characterization of malware variants and thereby accelerate the development of effective responses.
DCAPS I2O The Detection and Computational Analysis of Psychological Signals (DCAPS) program aims to develop novel analytical tools to assess psychological status of warfighters in the hopes of improving psychological health awareness and enabling them to seek timely help. DCAPS tools will be developed to analyze patterns in everyday behaviors to detect subtle changes associated with post-traumatic stress disorder, depression and suicidal ideation. In particular, DCAPS hopes to advance the state-of-the-art in extraction and analysis of 'honest signals' from a wide variety of sensory data inherent in daily social interactions. DCAPS is not aimed at providing an exact diagnosis, but at providing a general metric of psychological health.
DEFT I2O Automated, deep natural-language processing (NLP) technology may hold a solution for more efficiently processing text information and enabling understanding connections in text that might not be readily apparent to humans. DARPA created the Deep Exploration and Filtering of Text (DEFT) program to harness the power of NLP. Sophisticated artificial intelligence of this nature has the potential to enable defense analysts to efficiently investigate orders of magnitude more documents, which would enable discovery of implicitly expressed, actionable information within those documents.
ENGAGE I2O DARPA created the ENGAGE program to enable the development of education and training systems that are better, faster, continuously optimized, and massively scalable. ENGAGE is exploring software- and data-intensive education and training methods that harness the power of large user populations to optimize instruction.
FLASHLIGHT I2O The FLASHLIGHT program seeks to prevent data exfiltration and information leakage through the use of a hardened audit and inspection capability that attests to the integrity and legitimacy of data leaving a network enclave.
GRAPHS DSO GRAPHS is developing scalable algorithms and statistical methods for the analysis and modelling of very large and dynamically evolving networks, with the intent of developing predictive methods for anomalous and exceptional events in networks. A major focus of the program has been quantitative and structural aspects of large networks and the attending models. The program is divided into a few thrusts, with performers working in sampling techniques for graphs, geometric embeddings into hyperbolic spaces, Gaussian Conditional Random Fields, meso-level network behaviors, and link prediction.
I2O The High-Assurance Cyber Military Systems (HACMS) program goal is to create technology for the construction of high-assurance cyber-physical systems, where high assurance is defined to mean functionally correct and satisfying appropriate safety and security properties. Key technologies include interactive software synthesis systems, verification tools, and specification languages.
I2O Systems developed on the Integrated Cyber Analysis System (ICAS) program will make host and network forensic information available to enterprise IT security. ICAS automatically integrates structured and unstructured sources of network data into a federated database to enable reasoning about cyber threats, and provides cyber defenders with a current picture of their IT environment, to reduce the time required to discover targeted attacks. At the heart of this capability is a cyber security ontology which enables the automated federation of multiple heterogeneous sources of data by providing uniform semantic relationships for IT network defense. This ontology is available for download at http://invincealabs.github.io/icas-ontology/.
MADCAT I2O The goal of the Multilingual Automatic Document Classification Analysis and Translation (MADCAT) program is to automatically convert foreign language text images into English transcripts, thus eliminating the need for linguists and analysts while automatically providing relevant, distilled actionable information to military command and personnel in a timely fashion.
MEMEX I2O Today's web searches use a centralized, one-size-fits-all approach that searches the Internet with the same set of tools for all queries. While that model has been wildly successful commercially, it does not work well for many government use cases. To help overcome these challenges, DARPA launched the Memex program in September 2014. Memex seeks to develop software that advances online search capabilities far beyond the current state of the art. The goal is to invent better methods for interacting with and sharing information, so users can quickly and thoroughly organize and search subsets of information relevant to their individual interests. Creation of a new domain-specific indexing and search paradigm will provide mechanisms for improved content discovery, information extraction, information retrieval, user collaboration, and extension of current search capabilities to the deep web, the dark web, and nontraditional (e.g. multimedia) content.
MRC I2O The Mission-oriented Resilient Clouds (MRC) program is addressing some of the security challenges facing cloud computing by developing technologies to detect, diagnose and respond to attacks in the cloud, with the goal of effectively building a 'community health system' for the cloud. MRC is also developing technologies intended to enable missions that are supported by cloud computing and other networked systems to continue functioning while under cyberattack.
I2O Plan X is a foundational cyberwarfare program to develop platforms for the Department of Defense to plan for, conduct, and assess cyberwarfare in a manner similar to kinetic warfare. Toward this end the program will bridge cyber communities of interest from academe, to the defense industrial base, to the commercial tech industry, to user-experience experts.
PPAML I2O Machine learning - the ability of computers to understand data, manage results and infer insights from uncertain information - is the force behind many recent revolutions in computing. Email spam filters, smartphone personal assistants and self-driving vehicles are all based on research advances in machine learning. Unfortunately, even as the demand for these capabilities is accelerating, every new application requires a Herculean effort. Teams of hard-to-find experts must build expensive, custom tools that are often painfully slow and can perform unpredictably against large, complex data sets.

The Probabilistic Programming for Advancing Machine Learning (PPAML) program aims to address these challenges. Probabilistic programming is a new programming paradigm for managing uncertain information. Using probabilistic programming languages, PPAML seeks to greatly increase the number of people who can successfully build machine learning applications and make machine learning experts radically more effective. Moreover, the program seeks to create more economical, robust and powerful applications that need less data to produce more accurate results - features inconceivable with today's technology.
PROCEED I2O DARPA's Programming Computation on Encrypted Data (PROCEED) program is a research effort that seeks to develop methods that allow computing with encrypted data without first decrypting that data, making it possible to compute more securely in untrusted environments.
RATS I2O The Robust Automatic Transcription of Speech (RATS) program will create algorithms and software for performing the following tasks on potentially speech-containing signals received over communication channels that are extremely noisy and/or highly distorted: speech activity detection, language identification, speaker identification, and key word spotting.
Revolutionizing Prosthetics BTO DARPA launched the Revolutionizing Prosthetics program with a radical goal: Create an advanced electromechanical prosthetic upper limb with near-natural control that enhances independence and improves quality of life for amputees, and gain U.S. Food and Drug Administration (FDA) approval for its use. In May 2014, less than eight years after the effort was launched, that dream is a reality; the FDA approved the DEKA Arm System.
SAFER I2O The SAFER program seeks to develop technology to enable safe, resilient communications over the Internet, particularly in situations in which third parties attempt to discover the identity or location of the end users, or block communications. The program also seeks to provide the technological quality of service required to support applications such as electronic mail, instant messaging, voice over IP, and other media that promote effective communication.
SMISC I2O The general goal of the Social Media in Strategic Communication (SMISC) program is to develop a new science of social networks built on an emerging technology base. Through the program, DARPA seeks to develop tools to support the efforts of human operators to counter misinformation or deception campaigns with truthful information.
XDATA I2O XDATA is developing an open source software library for big data to help overcome the challenges of effectively scaling to modern data volume and characteristics. The program is developing the tools and techniques to process and analyze large sets of imperfect, incomplete data. Its programs and publications focus on the areas of analytics, visualization, and infrastructure to efficiently fuse, analyze, and disseminate these large volumes of data.

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