Detect and warn about suspicious IPs logging into Nextcloud
Обновлено 2024-11-23 02:19:44 +03:00
This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.
machine-learning
deep-learning
nlp
natural-language-processing
privacy
ner
transformers
pii
named-entity-recognition
spacy
flair
Обновлено 2024-11-22 01:17:04 +03:00
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
hacktoberfest
microsoft
python
privacy
transformers
anonymization
anonymization-service
data-anonymization
data-loss-prevention
data-masking
data-protection
de-identification
dlp
pii
pii-anonymization
pii-anonymization-service
presidio
privacy-protection
text-anonymization
Обновлено 2024-11-22 00:54:06 +03:00
Collaborative development on GitHub's site policies, procedures, and guidelines
Обновлено 2024-11-19 20:27:46 +03:00
🔑 The privacy center shows you where your data is stored and who can access it, either because you shared with them or because they are administrators.
Обновлено 2024-11-19 12:52:19 +03:00
Open-source, non-custodial, privacy focused Bitcoin wallet for Windows, Linux, and Mac. Built-in Tor, CoinJoin, and coin control features.
Обновлено 2024-11-14 22:56:49 +03:00
Firefox Multi-Account Containers lets you keep parts of your online life separated into color-coded tabs that preserve your privacy. Cookies are separated by container, allowing you to use the web with multiple identities or accounts simultaneously.
Обновлено 2024-10-24 15:28:50 +03:00
Security and Privacy Research at Microsoft
Обновлено 2024-09-09 20:30:58 +03:00
Generates synthetic data and user interfaces for privacy-preserving data sharing and analysis.
Обновлено 2024-03-30 01:24:26 +03:00
Unity's privacy-preserving human-centric synthetic data generator
unity
unity3d
deep-learning
computer-vision
pose-estimation
object-detection
synthetic-data
perception
synthetic-dataset-generation
billing-5160
synthetic-datasets
applied-ml-research
human-activity-recognition
human-centric-ml
human-pose-estimation
icml-2022
labeling
owner-machine-learning
synthetic-data-generation
transfer-learning
Обновлено 2024-03-05 04:05:37 +03:00
A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
Обновлено 2024-02-15 16:24:04 +03:00
Federated Learning Utilities and Tools for Experimentation
machine-learning
pytorch
simulation
gloo
nccl
personalization
privacy-tools
transformers-models
distributed-learning
federated-learning
Обновлено 2024-01-11 22:20:09 +03:00
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
machine-learning
artificial-intelligence
causality
domain-generalization
privacy-preserving-machine-learning
Обновлено 2023-10-03 07:31:52 +03:00
A python module implementing the ElectionGuard specification. This implementation can be used to conduct End-to-End Verifiable Elections as well as privacy-enhanced risk-limiting audits.
Обновлено 2023-08-02 03:24:27 +03:00
UI to control web site privacy settings
Обновлено 2023-07-19 01:59:25 +03:00
Truly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean, researchers have voiced a continuous desire to study how people currently converse with search engines. Traditionally, the desire to produce such a comprehensive dataset has been limited because those who have this data (Search Engines) have a responsibility to their users to maintain their privacy and cannot share the data publicly in a way that upholds the trusts users have in the Search Engines. Given these two powerful forces we believe we have a dataset and paradigm that meets both sets of needs: A artificial public dataset that approximates the true data and an ability to evaluate model performance on the real user behavior. What this means is we released a public dataset which is generated by creating artificial sessions using embedding similarity and will test on the original data. To say this again: we are not releasing any private user data but are releasing what we believe to be a good representation of true user interactions.
Обновлено 2023-06-12 21:21:58 +03:00
Open Source Data Protection/Privacy Regulatory Mapping Project
Обновлено 2023-06-11 08:10:07 +03:00
Обновлено 2022-03-30 00:04:00 +03:00
Location of Compliance, Risk, and Privacy APIs in Github
Обновлено 2022-01-20 23:25:18 +03:00
Location of Compliance, Risk, and Privacy APIs in Github
Обновлено 2022-01-20 23:25:18 +03:00
A complete workshop content with a series of tracks and hands-on labs on various techniques to protect data in use.
encryption
homomorphic-encryption
confidential-computing
differential-privacy
multiparty-computation
Обновлено 2020-09-10 13:24:32 +03:00
Обновлено 2019-04-01 10:31:43 +03:00
SUPERSEEDED/REPLACED this approach by using the existing WebExtension APIs directly (previous explanation: WebExtension experiments API for privacy-related browser instrumentation that requires privileged code)
Обновлено 2018-09-13 20:47:08 +03:00
INACTIVE - http://mzl.la/ghe-archive - Adds a checkbox that has to be ticked to Coral's auth plugin. Useful for accepting privacy policies.
Обновлено 2018-04-02 19:17:59 +03:00
RAPPOR: Privacy-Preserving Reporting Algorithms
Обновлено 2017-09-11 20:09:27 +03:00
INACTIVE - http://mzl.la/ghe-archive - Shield Add-on to study Firefox privacy changes.
Обновлено 2017-07-27 02:42:56 +03:00
INACTIVE - http://mzl.la/ghe-archive - An introductory page for an internal survey about Online Privacy & Security
Обновлено 2017-02-01 01:05:08 +03:00
INACTIVE - http://mzl.la/ghe-archive - Shield Study Add-on to experiment with various Firefox privacy preference values.
Обновлено 2016-10-10 22:41:51 +03:00
INACTIVE - http://mzl.la/ghe-archive - Below you will be given an opportunity to submit your idea for a tool that makes people more aware of their privacy and security online.
Обновлено 2016-06-08 22:37:50 +03:00