From 89facc0b6d863f4b31197f655421a70767626d31 Mon Sep 17 00:00:00 2001 From: Rodney Anthony Dubose Date: Mon, 22 Jun 2026 11:22:04 -0400 Subject: [PATCH 1/3] DAS Bedrock for CRF 706 --- DAS-Bedrock-Final.yml | 56 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 56 insertions(+) create mode 100644 DAS-Bedrock-Final.yml diff --git a/DAS-Bedrock-Final.yml b/DAS-Bedrock-Final.yml new file mode 100644 index 0000000..9e5d2bc --- /dev/null +++ b/DAS-Bedrock-Final.yml @@ -0,0 +1,56 @@ +template_date: 2026-06-22 +template_version: 1.0.5 +basic: + date: 2026-06-22 + version: 1.0.0 + contact_info: + - name: Michael Walsh + division: CED + mail: michael.j.walsh@census.gov + configuration_completed: 2026-06-22 + +bedrock_information: + company_name: U.S. Census Bureau + website_url: https://census.gov/ + industry: Government + intended_users: + internal_employees: true + external_user: false + use_case_description: + This project will support privacy enhancing / disclosure avoidance research through the use of LLMs to simulate adversarial queries and test the robustness and accuracy of privacy protected datasets. + LLMs will additionally be used for AI assisted code development, test and documentation generation. + +bedrock_models: + - anthropic.claude-4-5-sonnet + - amazon.titan-embed-text + - meta.llama3-8b + - meta.llama3-70b + +federal_standards_information: + id: 3140 + project_name: DAS + project_summary: + This project will support privacy enhancing / disclosure avoidance research through the use of LLMs to simulate adversarial queries and test the robustness and accuracy of privacy protected datasets. + LLMs will additionally be used for AI assisted code development, test and documentation generation. + development_stage: active | research + data_sensitivity: DESCRIPTION + - title13 + + dms_project_NUMBER: P-7523893 + cms_project_NUMBER: NUMBER + dates: + start_date: 2026-06-22 + end_date: 2033-09-01 + +deployment_details: + crf_NUMBER: 706 + finops_project_NUMBER: fs0000000033 + finops_project_name: ti2cet_das + accounts: + - account_id: 252999262699 + account_alias: ma8-gov + regions: us-gov-west-1 + environment: ite + commercial_account_id: 096973145231 + commercial_account_alias: ma8-ew + From 93ba7ecdd4e29283e1fa7781daf890fb01f02de5 Mon Sep 17 00:00:00 2001 From: badra001 Date: Mon, 22 Jun 2026 11:50:49 -0400 Subject: [PATCH 2/3] move to requests --- DAS-Bedrock-Final.yml => requests/DAS-Bedrock-Final.yml | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename DAS-Bedrock-Final.yml => requests/DAS-Bedrock-Final.yml (100%) diff --git a/DAS-Bedrock-Final.yml b/requests/DAS-Bedrock-Final.yml similarity index 100% rename from DAS-Bedrock-Final.yml rename to requests/DAS-Bedrock-Final.yml From 3b7313e003d859f1d2be06d4ae9575191dfa9556 Mon Sep 17 00:00:00 2001 From: badra001 Date: Mon, 22 Jun 2026 11:56:49 -0400 Subject: [PATCH 3/3] cleanup --- requests/DAS-Bedrock-Final.yml | 32 ++++++++++++++++++-------------- 1 file changed, 18 insertions(+), 14 deletions(-) diff --git a/requests/DAS-Bedrock-Final.yml b/requests/DAS-Bedrock-Final.yml index 9e5d2bc..31ed68b 100644 --- a/requests/DAS-Bedrock-Final.yml +++ b/requests/DAS-Bedrock-Final.yml @@ -7,7 +7,7 @@ basic: - name: Michael Walsh division: CED mail: michael.j.walsh@census.gov - configuration_completed: 2026-06-22 + configuration_completed: YYYY-MM-DD bedrock_information: company_name: U.S. Census Bureau @@ -16,7 +16,7 @@ bedrock_information: intended_users: internal_employees: true external_user: false - use_case_description: + use_case_description: | This project will support privacy enhancing / disclosure avoidance research through the use of LLMs to simulate adversarial queries and test the robustness and accuracy of privacy protected datasets. LLMs will additionally be used for AI assisted code development, test and documentation generation. @@ -27,30 +27,34 @@ bedrock_models: - meta.llama3-70b federal_standards_information: - id: 3140 + id: 20260622-2 project_name: DAS - project_summary: + project_summary: | This project will support privacy enhancing / disclosure avoidance research through the use of LLMs to simulate adversarial queries and test the robustness and accuracy of privacy protected datasets. LLMs will additionally be used for AI assisted code development, test and documentation generation. - development_stage: active | research - data_sensitivity: DESCRIPTION + development_stage: active + data_sensitivity: - title13 - - dms_project_NUMBER: P-7523893 - cms_project_NUMBER: NUMBER + dms_project_number: 7523893 + cms_project_number: N/A dates: - start_date: 2026-06-22 - end_date: 2033-09-01 + start_date: 2017-05-17 + end_date: 2032-01-01 deployment_details: - crf_NUMBER: 706 - finops_project_NUMBER: fs0000000033 + crf_number: 706 + finops_project_number: 33 finops_project_name: ti2cet_das + csam_id: 3140 accounts: - account_id: 252999262699 account_alias: ma8-gov - regions: us-gov-west-1 + regions: + - us-gov-west-1 environment: ite commercial_account_id: 096973145231 commercial_account_alias: ma8-ew +history: + - date: 20260622 + comment: initial cleanup of file