Research map / Adversarial robustness and security / Backdoor and poisoning

DBA: Distributed Backdoor Attacks against Federated Learning

ICLR 2020 · Adversarial robustness and security › Backdoor and poisoning · approach: Backdoors in federated learning · 260 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Closest papers by meaning

• SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning (AAAI 2025 · similarity 0.91)
• Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning (AAAI 2024 · similarity 0.90)
• Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective (AAAI 2024 · similarity 0.90)
• Backdoor Federated Learning by Poisoning Backdoor-Critical Layers (ICLR 2024 · similarity 0.89)
• Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning (CVPR 2025 · similarity 0.89)
• Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning (NeurIPS 2024 · similarity 0.88)