Future Program: Securing Artificial Intelligence for Battlefield Effective Robustness (SABER)
| Location: |
Federal |
| Posted: |
Jan 29, 2025 |
| Due: |
Mar 14, 2025 |
| Agency: |
DEPT OF DEFENSE |
| Type of Government: |
Federal |
| Category: |
- A - Research and development
|
| Solicitation No: |
DARPA-SN-25-39 |
| Publication URL: |
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Future Program: Securing Artificial Intelligence for Battlefield Effective Robustness (SABER)
Active
Contract Opportunity
Department/Ind. Agency
DEPT OF DEFENSE
Sub-tier
DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA)
Office
DEF ADVANCED RESEARCH PROJECTS AGCY
General Information
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Contract Opportunity Type: Special Notice (Original)
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Original Published Date: Jan 29, 2025 03:41 pm EST
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Original Response Date: Mar 14, 2025 05:00 pm EDT
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Inactive Policy: Manual
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Original Inactive Date:
Mar 15, 2025
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Initiative:
Classification
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Original Set Aside:
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Product Service Code: AC12 - NATIONAL DEFENSE R&D SERVICES; DEPARTMENT OF DEFENSE - MILITARY; APPLIED RESEARCH
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NAICS Code:
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Place of Performance:
Description
Artificial intelligence (AI) has reached an age of maturity, and there is a growing desire for these technologies to be integrated into systems that can be used to give battlefield advantage by helping improve the speed, quality, and accuracy of decisions in the field while enabling autonomy and assistive automation. Due to the statistical nature of machine learning, prior work has focused on the robustness of AI-enabled systems at inference time to degradations in performance due to data distribution shifts from a highly dynamic battlefield environment. However, as early as 2014, AI has been demonstrated as manipulable given adversary control of the input [1]. Initial work has further confirmed the risks of data poisoning [2], physically constrained adversarial patches for evasion [3], and model stealing attacks [4]. However, these attacks are typically tested in simulated environments, or physical environments with relatively pristine control compared to what might be expected on a battlefield. Because adversarial AI attacks have not been practically demonstrated in operational settings, the operational security risks of AI-enabled battlefield systems remain unknown. Given the above, SABER will build an exemplar AI red team that can continuously integrate and employ emerging counter-AI techniques and tools, establishing a sustainable model for an evergreen operational AI red teaming process. Our AI red team will be operationally assessing AI-enabled autonomous ground and air systems that could be deployed in the next 1-3 years. To assist the AI red team, this solicitation seeks performers who can assist in surveying, assessing, selecting, developing, and employing state-of-the-art physical (including manufacturing/materials), adversarial AI (including digital), cyber and electronic warfare techniques and tools, or other relevant vectors for enabling the operational assessment of AI-enabled system development and deployment pipelines. Additionally, this solicitation seeks performers to serve as an integration lead, assisting in integrating the technologies into an interoperable operational AI red teaming toolkit to equip the AI red team and to enable future AI red teams for the DoD and broader USG.
Citations:
1- https://arxiv.org/abs/1412.6572
2- https://arxiv.org/abs/1804.00792
3- https://arxiv.org/pdf/2104.06728
4- https://arxiv.org/abs/2411.10023
Attachments/Links
Contact Information
Contracting Office Address
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675 NORTH RANDOLPH STREET
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ARLINGTON , VA 222032114
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USA
Secondary Point of Contact
History
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Jan 29, 2025 03:41 pm ESTSpecial Notice (Original)
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Bid Due: 6/08/2026
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