Awesome Encryption

Key papers

• Post-Quantum Secure Federated DeFi for Inclusive Banking (2026)
  Swati Sachan et al.
  5.01
• Intercloud: Eventual Consistency for Decentralised Economies via Chilling-Effect Consensus (2026)
  Gregory Magarshak
  4.33
• Thou Shall Not Pass: Gatekeeping Outbound TLS Connections (2026)
  Henrique B. Brum et al.
  4.33
• A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning (2025)
  Abdulkadir Korkmaz and Praveen Rao
  4.25
• Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning (2025)
  Runhua Xu et al.
  3.64
• Safecloud: A Distributed, Encrypted Storage Cloud for Streaming (2026)
  Gregory Magarshak
  3.51
• PP-MARL: Efficient Privacy-Preserving Multi-Agent Reinforcement Learning for Cooperative Intelligence in Communications (2022)
  Tingting Yuan et al.
  3.19
• Gradient Leakage Defense with Key-Lock Module for Federated Learning (2023)
  Hanchi Ren and Jingjing Deng and Xianghua Xie
  3.19
• Federated Learning-Driven Cybersecurity Framework for IoT Networks with Privacy-Preserving and Real-Time Threat Detection Capabilities (2025)
  Milad Rahmati
  2.71
• CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks (2025)
  Atmane Ayoub Mansour Bahar et al.
  2.65
• Homomorphic Encryption Based on Lattice Post-Quantum Cryptography (2025)
  Abel C. H. Chen
  2.65
• TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning (2025)
  Runhua Xu et al.
  2.65
• MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption (2024)
  Siddhant Dutta et al.
  2.60
• A Joint Time and Energy-Efficient Federated Learning-based Computation Offloading Method for Mobile Edge Computing (2024)
  Anwesha Mukherjee et al.
  2.43
• Quantum delegated and federated learning via quantum homomorphic encryption (2024)
  Weikang Li and Dong-Ling Deng
  2.43
• Privacy-aware Berrut Approximated Coded Computing for Federated Learning (2024)
  Xavier Mart\'inez Lua\~na et al.
  2.21
• Towards Securing IIoT: An Innovative Privacy-Preserving Anomaly Detector Based on Federated Learning (2026)
  Samira Kamali Poorazad et al.
  1.89
• Trans-RAG: Query-Centric Vector Transformation for Secure Cross-Organizational Retrieval (2026)
  Yu Liu et al.
  1.89
• A Proposed Biomedical Data Policy Framework to Reduce Fragmentation, Improve Quality, and Incentivize Sharing in Indian Healthcare in the era of Artificial Intelligence and Digital Health (2026)
  Nikhil Mehta et al.
  1.89
• The Missing Pillar in Quantum-Safe 6G: Regulation and Global Compliance (2026)
  Adnan Aijaz
  1.89
• Sovereign 2.0: Control-Plane Sovereignty for Cloud Systems Under Disruption (2026)
  Justin Stark and Scott Wilkie
  1.89
• EdgeDetect: Importance-Aware Gradient Compression with Homomorphic Aggregation for Federated Intrusion Detection (2026)
  Noor Islam S. Mohammad
  1.89
• CHRONOS: A Hardware-Assisted Phase-Decoupled Framework for Secure Federated Learning in IoT (2026)
  Hung Dang
  1.89
• SUDP: Secret-Use Delegation Protocol for Agentic Systems (2026)
  Xiaohang Yu et al.
  1.89
• Composable Attestation: A Generalized Framework for Continuous and Incremental Trust in AI-Driven Distributed Systems (2026)
  Sheng Sun et al.
  1.83
• Understanding the Resource Cost of Fully Homomorphic Encryption in Quantum Federated Learning (2026)
  Lukas B\"ohm and Arjhun Swaminathan and Anika Hannemann and Erik Buchmann
  1.83
• Integrating Homomorphic Encryption and Synthetic Data in FL for Privacy and Learning Quality (2026)
  Yenan Wang et al.
  1.83
• Zero-Knowledge Federated Learning with Lattice-Based Hybrid Encryption for Quantum-Resilient Medical AI (2026)
  Edouard Lansiaux
  1.83
• Efficient Privacy-Preserving Sparse Matrix-Vector Multiplication Using Homomorphic Encryption (2026)
  Yang Gao et al.
  1.83
• Balancing Privacy-Quality-Efficiency in Federated Learning through Round-Based Interleaving of Protection Techniques (2026)
  Yenan Wang et al.
  1.83
• Post-quantum Federated Learning: Secure And Scalable Threat Intelligence For Collaborative Cyber Defense (2026)
  Prabhudarshi Nayak et al.
  1.83
• Privacy-Preserving Machine Learning for IoT: A Cross-Paradigm Survey and Future Roadmap (2026)
  Zakia Zaman et al.
  1.83
• Quantum Key Distribution Secured Federated Learning for Channel Estimation and Radar Spectrum Sensing in 6G Networks (2026)
  Ferhat Ozgur Catak and Murat Kuzlu and Jungwon Seo and Umit Cali
  1.83
• Federated Computing as Code (FCaC): Sovereignty-aware Systems by Design (2026)
  Enzo Fenoglio et al.
  1.83
• TAPAS: Efficient Two-Server Asymmetric Private Aggregation Beyond Prio(+) (2026)
  Harish Karthikeyan and Antigoni Polychroniadou
  1.83
• Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and Benchmarks (2026)
  Yanming Mu et al.
  1.83
• Supercharging Federated Intelligence Retrieval (2026)
  Dimitris Stripelis et al.
  1.83
• Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption (2026)
  Ivan Costa et al.
  1.83
• BitSov: A Composable Bitcoin-Native Architecture for Sovereign Internet Infrastructure (2026)
  Oliver Aleksander Larsen et al.
  1.83
• Robust Federated Learning via Byzantine Filtering over Encrypted Updates (2026)
  Adda Akram Bendoukha et al.
  1.78
• FedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments (2026)
  Alejandro Dopico-Castro et al.
  1.78
• SRFed: Mitigating Poisoning Attacks in Privacy-Preserving Federated Learning with Heterogeneous Data (2026)
  Yiwen Lu
  1.78
• UnlinkableDFL: a Practical Mixnet Protocol for Churn-Tolerant Decentralized FL Model Sharing (2026)
  Chao Feng et al.
  1.78
• A Critical Look into Threshold Homomorphic Encryption for Private Average Aggregation (2026)
  Miguel Morona-M\'inguez and Alberto Pedrouzo-Ulloa and Fernando P\'erez-Gonz\'alez
  1.78
• Secure, Verifiable, and Scalable Multi-Client Data Sharing via Consensus-Based Privacy-Preserving Data Distribution (2026)
  Prajwal Panth et al.
  1.72
• Byzantine-Robust Federated Learning Framework with Post-Quantum Secure Aggregation for Real-Time Threat Intelligence Sharing in Critical IoT Infrastructure (2026)
  Milad Rahmati et al.
  1.72
• Privacy at Scale in Networked Healthcare (2026)
  M. Amin Rahimian et al.
  1.72
• Decentralized Privacy-Preserving Federal Learning of Computer Vision Models on Edge Devices (2026)
  Damian Haren\v{c}\'ak et al.
  1.72
• Privacy-Preserving Data Processing in Cloud : From Homomorphic Encryption to Federated Analytics (2026)
  Gaurav Sarraf et al.
  1.72
• Toward Youth-Centered Privacy-by-Design in Smart Devices: A Systematic Review (2026)
  Molly Campbell et al.
  1.72
• Privacy-Preserving Federated Learning with Verifiable Fairness Guarantees (2026)
  Mohammed Himayath Ali et al.
  1.72
• Post-Quantum Secure Aggregation via Code-Based Homomorphic Encryption (2026)
  Sebastian Bitzer et al.
  1.72
• SpooFL: Spoofing Federated Learning (2026)
  Isaac Baglin et al.
  1.72
• FedGraph-VASP: Privacy-Preserving Federated Graph Learning with Post-Quantum Security for Cross-Institutional Anti-Money Laundering (2026)
  Daniel Commey et al.
  1.72
• Operator-Theoretic Framework for Gradient-Free Federated Learning (2025)
  Mohit Kumar et al.
  1.67
• A Privacy-Preserving Information-Sharing Protocol for Federated Authentication (2025)
  Francesco Buccafurri and Carmen Licciardi
  1.67
• Scaling Trust in Quantum Federated Learning: A Multi-Protocol Privacy Design (2025)
  Dev Gurung et al.
  1.67
• PrivLLMSwarm: Privacy-Preserving LLM-Driven UAV Swarms for Secure IoT Surveillance (2025)
  Jifar Wakuma Ayana et al.
  1.67
• Secure and Privacy-Preserving Federated Learning for Next-Generation Underground Mine Safety (2025)
  Mohamed Elmahallawy et al.
  1.67
• Mage: Cracking Elliptic Curve Cryptography with Cross-Axis Transformers (2025)
  Lily Erickson
  1.67