Algorithms for Threat Detection (ATD) Program

Horizon Europe: Enhancing the Security, Privacy and Robustness of AI Models and Systems (SecureAI) (HORIZON-CL3-2026-02-CS-ECCC-02) is sponsored by European Commission (through ECCC). This call supports solutions addressing adversarial attacks, data poisoning, backdoor threats, and other emerging risks in AI models and systems, in line with the AI Act. It aims to strengthen the resilience of AI systems and algorithms against various threats.

HORIZON-CL3-2026-02-CS-ECCC-02: Enhancing the Security, Privacy and Robustness of AI Models and Systems (SecureAI) is sponsored by European Cybersecurity Competence Centre and Network (ECCC), European Commission. Aims to strengthen the resilience of AI systems and algorithms against various threats, including adversarial attacks and data poisoning, supporting the development of innovative defense mechanisms and robust AI models.

Long Range Broad Agency Announcement (LRBAA) to the scientific and technical communities to propose novel ideas that address DHS Components' highest priority operational needs is sponsored by U.S. Department of Homeland Security (DHS), Science and Technology Directorate (S&T). The DHS Science and Technology Directorate (S&T) is funding scientific and technical research projects that significantly improve or increase capabilities across the Homeland Security Enterprise. This LRBAA supports near-term operational needs, foundational science, and future/emerging threat research through contracts, grants, cooperative agreements, and Other Transaction Agreements (OTAs). Projects can include those focused on identifying individuals or groups intending to conduct terrorist attacks and/or illicitly move weapons, dangerous goods, and contraband. This also includes the development of cost-effective methodologies and tools for training and testing of Machine Learning-based (ML-based) algorithms for detecting explosives and contraband in Computed Tomography (CT) and Millimeter Wave (MMW) images.