🔐 Privacy Engineering - widget101 · Scour

PostgreSQL Anonymizer 3.1 : Introducing Local Differential Privacy

postgresql.org·

Sort, Partition, Randomize: Optimal Binary Hypothesis Testing under Local Differential Privacy

📊Information Theory Academic

Less-relevant results

New framework for auditing machine unlearning

📡Data Observability Blog

research.google·

High-Accuracy, Poisoning-Resilient Frequency Estimation in the Shuffle Model

eprint.iacr.org·

Niobium Opens Developer Partner Program for The Fog, the First IaaS Purpose-Built for Fully Homomorphic Encryption

📊Data Lineage

28 April 2026 - John Liagouris | Blockchain Technology Laboratory

🌐Distributed Systems

informatics.ed.ac.uk·

Brave Origin strips AI, Rewards, and VPN for privacy purists - at a price

End-to-end encrypted ML inference with Amazon SageMaker AI and FHE

☁️AWS Infrastructure Blog

aws.amazon.com·

SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT

🐜Swarm Intelligence Academic

Programming Languages Software Award

Differential privacy statistical inference for a directed graph network model with covariates

🎲Game Theory Academic

Butterfly Effect: Multi-Key FHE from Ring-LWR

🧭Quantum Navigation

eprint.iacr.org·

On Choosing the $\mu$ Parameter in Gaussian Differential Privacy

📡Data Observability Academic

Out of sight, out of reach – it't not your data

🧊Iceberg Tables Blog

ecprotocol.io··Hacker News

Latency-Aware, High-Throughput Homomorphic AES Evaluation with CKKS

⚡SIMD Optimization

eprint.iacr.org·

HE-DAP: Homomorphic Encryption-based Dynamic Adaptive Parameter Optimization for Statistical Computation

📊Approximate Computing Academic

Multi-Objective Submodular Maximization with Differential Privacy

🧮Algorithms Academic

DP4SQL: Differentially Private SQL with Flexible Privacy Policies

💾Databases Academic

Fast Bounded-Independence Functions and Their Duals

☁️Cloud Computing

eprint.iacr.org·

Fully Oblivious Differential Privacy for Frequency Estimation in the Augmented Shuffle Model with Trusted Processors

📊Approximate Computing Academic

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