Differential Privacy

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Scoured 26 posts in 6.9 ms

Asymptotic Optimality of the High-Dimensional Gaussian Mechanism and Improved Low-Dimensional Mechanisms for Differential Privacy

 🕸️eBPF  Content type: Academic
arxiv.org·
Less-relevant results

A New Commerce Policy Could Mean Less Public Data, Not Better Public Data

 🔓binary exploitation
bespacific.com·

Balanced Additive Randomized Encodings for Shuffle Differential Privacy

 🔐Cryptography
eprint.iacr.org·

PostgreSQL Anonymizer 3.1 : Introducing Local Differential Privacy

 🐛Fuzzing
postgresql.org·

This Is the Hidden ‘AI Tax’ That Founders Need to Budget For

 🔒Hardware Security
entrepreneur.com·

Banning noise will be a disaster for statistical data products - Ted is writing things

 🔓binary exploitation  Content type: Blog
desfontain.es··Lobsters, Hacker News·Cited by 1 article

What a VPN Actually Does (And Why Most Devs Use It Wrong)

 🕸️eBPF
lucas8.com··DEV

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

 🤖Transformers  Content type: Academic
arxiv.org·

New framework for auditing machine unlearning

 ⚙operating systems  Content type: Blog
research.google·

Computationally tractable robust differentially private mean estimation

 🔓binary exploitation  Content type: Academic
arxiv.org·

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

 🔓binary exploitation
eprint.iacr.org·

Fixed-Parameter Tractability of Private Synthetic Data Generation

 🐛Fuzzing  Content type: Academic
arxiv.org·

Programming Languages Software Award

 🦀Rust Compilers
sigplan.org·

A Fast Gaussian Mechanism under Continual Observation, with Applications

 ⚡SIMD Optimization  Content type: Academic
arxiv.org·

Apple’s Gemini Bet: What Outsourcing AI Really Means

 🖥️Hypervisors  Content type: Blog  Content type: Discussion
tildalice.io·

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

 🕸️eBPF  Content type: Academic
arxiv.org·

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

 🔓binary exploitation  Content type: Academic
arxiv.org·

On the Additive Sensitivity of LZ77 Under Consecutive Edits

 🐛Fuzzing
eprint.iacr.org·

DP4SQL: Differentially Private SQL with Flexible Privacy Policies

 🐛Fuzzing  Content type: Academic
arxiv.org·

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

 🔒Hardware Security  Content type: Academic
arxiv.org·

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