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🛡️ Differential Privacy

Privacy Preserving Analytics, Noise Addition, Statistical Disclosure

Psylo Browser Obscures Digital Fingerprints By Giving Every Tab Its Own IP Address
tech.slashdot.org·1h
🔤EBCDIC Privacy
The Internal Inconsistency of Large Language Models
blog.kortlepel.com·1d·
Discuss: Hacker News
💻Local LLMs
Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generator
arxiv.org·1d
🧠Intelligence Compression
SELFI: Selective Fusion of Identity for Generalizable Deepfake Detection
arxiv.org·1d
👁️Perceptual Hashing
Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
arxiv.org·1d
📊Feed Optimization
Privacy-Preserving Resilient Vector Consensus
arxiv.org·1d
🤝Consensus Algorithms
Focus Your Attention: Towards Data-Intuitive Lightweight Vision Transformers
arxiv.org·1d
🔄Lens Laws
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models
arxiv.org·20h
💻Local LLMs
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
arxiv.org·1d
🌀Riemannian Computing
Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning
arxiv.org·20h
🌀Riemannian Computing
Kafka Fundamentals: kafka retention.ms
dev.to·14h·
Discuss: DEV
🌊Streaming Systems
A large deviation view of \emph{stationarized} fully lifted blirp interpolation
arxiv.org·20h
📐Compression Bounds
Scalable Machine Learning Algorithms using Path Signatures
arxiv.org·1d
🧠Machine Learning
Signal Use and Emergent Cooperation
arxiv.org·20h
🔲Cellular Automata
Enabling PSO-Secure Synthetic Data Sharing Using Diversity-Aware Diffusion Models
arxiv.org·1d
🔒Homomorphic Compression
Fast Rate Information-theoretic Bounds on Generalization Errors
arxiv.org·1d
⧗Information Bottleneck
SPD-CFL: Stepwise Parameter Dropout for Efficient Continual Federated Learning
arxiv.org·1d
📊Learned Metrics
Using Wavelets and Clustering to Predict Odd or Even Numbers: An Overengineered Approach with Pretty (But Confusing) Plots
dev.to·10h·
Discuss: DEV
🧠Machine Learning
Shrinking the Generation-Verification Gap with Weak Verifiers
arxiv.org·1d
🧪CBOR Fuzzing
Local Differential Privacy for Distributed Stochastic Aggregative Optimization with Guaranteed Optimality
arxiv.org·6d
🔒Privacy Preserving
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