AI Methods in Side-Channel Analysis II

Research and development project for the investigation and further development of AI-supported methods for side-channel analysis of cryptographic implementations: Focus on post-quantum cryptographic procedures and symmetric procedures (e.g., AES) on microcontroller and FPGA platforms. The contractor sets up a measurement/test environment, selects or generates datasets (current/EM, possibly multimodal), and investigates robust model architectures, trace compression, test-time tuning, as well as suitable evaluation metrics and workflows for reproducible evaluations. Optionally, approaches to auto-formalization of selected security proofs will be considered exemplarily. Deliverables include reports and presentations, executive summaries, a practice-oriented guide, datasets, source code, and an extended software toolbox including installation instructions, user manual, and a short quick-start tutorial.

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