Context-aware Simopt-Power: Using structural data with simulation metadata to optimise FPGA designs
2026-05-28T08:52:16Z•ac3ea9d9b371740feacced11fda161944c0537ea41d1f7beb162dc014547b463
Grover-attackPauli-attackQFLbackdoor-attacksbit-flipcircuit-level-backdoordefensesfederated-learningmodel-poisoningnon-iid-dataquantum-federated-learningresearchrobust-aggregationsign-flipvariational-circuits
What happened
This collection includes a security-relevant paper that formalizes circuit-level backdoors against Quantum Federated Learning (QFL). The proposed CircUit-Level backdoor Threat (CULT) model describes four stealthy attacks (Grover, Pauli, Bit-flip, Sign-flip) that exploit variational quantum circuits and measurement-driven gradients; theory and experiments on MNIST/CIFAR-10 (non-IID) show a single malicious client can cause severe accuracy degradation under FedAvg. Common robust aggregation defenses (Krum, Multi-Krum, FoolsGold, FLGuardian, Mud-HoG) reduce but do not eliminate the attacks, so QF
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- ac3ea9d9b371740feacced11fda161944c0537ea41d1f7beb162dc014547b463
- Enrichment time
- 2026-05-28T08:52:16Z
- AI-assisted enrichment
- Yes
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