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  • 2024
  • 2023
  • 2022
  1. 🥵ResearchHub
  2. 🍎Security

CCS

2024

  • Toward Byzantine-Robust Decentralized Federated Learning.

  • Cross-silo Federated Learning with Record-level Personalized Differential Privacy.

  • Not One Less: Exploring Interplay between User Profiles and Items in Untargeted Attacks against Federated Recommendation.

  • Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses.

  • Two-Tier Data Packing in RLWE-based Homomorphic Encryption for Secure Federated Learning.

  • Camel: Communication-Efficient and Maliciously Secure Federated Learning in the Shuffle Model of Differential Privacy.

  • Samplable Anonymous Aggregation for Private Federated Data Analysis.

2023

  • martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture.

  • Turning Privacy-preserving Mechanisms against Federated Learning.

  • Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks.

  • MESAS: Poisoning Defense for Federated Learning Resilient against Adaptive Attackers.

2022

  • Federated Boosted Decision Trees with Differential Privacy.

  • CERBERUS: Exploring Federated Prediction of Security Events.

  • Eluding Secure Aggregation in Federated Learning via Model Inconsistency.

  • EIFFeL: Ensuring Integrity for Federated Learning.

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Last updated 9 months ago