Quantum-Resistant Federated Learning: Securing Distributed Model Training Against Post-Quantum Cryptography Threats
🔐Quantum Security
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SampCert: Verified Foundations for Differential Privacy (PLDI 2025)
🔐Homomorphic Encryption
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Confidentiality in a Card-Based Protocol Under Repeated Biased Shuffles
arxiv.org·1h
🌊Stream Ciphers
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A Pragmatic Leap
jxself.org·37m
🔐Quantum Security
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Quantum-Resistant Federated Learning with Homomorphic Encryption for Cross-Silo Medical AI Systems
🔐Homomorphic Encryption
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OvA-LP: A Simple and Efficient Framework for Federated Learning on Non-IID Data
arxiv.org·1h
💻Local LLMs
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AI chat privacy at risk: Microsoft details Whisper Leak side-channel attack
securityaffairs.com·14h
🕳️Information Leakage
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Derek Elkins: Umbral Calculus
hedonisticlearning.com·5h
⚔️Lean Theorem
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Digital Landlords
🧲Magnetic Philosophy
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monoscope-tech/monoscope
github.com·4h
📊Homelab Monitoring
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Just know stuff (or, how to achieve success in a machine learning PhD) (2023)
📐Linear Algebra
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Enhancing Federated Learning Privacy with QUBO
arxiv.org·5d
🔒Privacy Preserving
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TRICK: Time and Range Integrity ChecK using Low Earth Orbiting Satellite for Securing GNSS
arxiv.org·1h
🌊Stream Ciphers
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Show HN: Steadykey – Deterministic Idempotency Keys with Pluggable Stores
🌳Persistent Data Structures
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Quantum-Resistant Federated Learning: Securing Distributed Model Training Against Post-Quantum Cryptographic Threats
🔐Quantum Security
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SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking
arxiv.org·1h
🌳Archive Merkle Trees
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Show HN: Pingu Unchained an Unrestricted LLM for High-Risk AI Security Research
🏠Homelab Pentesting
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