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Why Brave

Why Brave

Request "Off the Record"

Request OTR is another in Brave's suite of features that support the privacy needs of individual users, protecting far beyond the "standard" …
Forgetful Browsing

Forgetful Browsing is similar to, but more powerful and protective than, popular browsing extensions and private browsing modes. It's …
"Google Sign-In" Permission

Starting in version 1.51, Brave will increase user privacy by extending the brower's permission system to cover legacy Google Sign-In…

Why Brave

First-Party Sets: Tearing Down Privacy Defenses Just as They're Being Built

Google is proposing a feature called "First-Party Sets," which would have browsers reduce privacy barriers between sites. This is both …
Google's Topics API: Rebranding FLoC Without Addressing Key Privacy Issues

The Topics API does not address the core harmfulness of FLoC: that it’s arrogant and dangerous for Google to be the arbiter of what users …
Privacy And Competition Concerns with Google’s Privacy Sandbox

The UK CMA (along with other regulators and web activists) are largely evaluating Google’s Privacy Sandbox as an isolated, independent set …

Why Brave

FrodoPIR: Simple, Scalable, Single-Server Private Information Retrieval

We design FrodoPIR — a highly configurable, stateful, single-server Private Information Retrieval (PIR) scheme that involves an offline …
Pool-Party: Exploiting Browser Resource Pools for Web Tracking

We identify class of covert channels in browsers that are not mitigated by current defenses, which we call "pool-party" attacks. Pool-party …
Tango or Square Dance? How Tightly Should we Integrate Network Functionality in Browsers?

The question at which layer network functionality is presented or abstracted remains a research challenge. Traditionally, network …

Topic

Machine Learning

RSS

Papers

Venue	Title	Topic
RecSys	Stronger Privacy for Federated Collaborative Filtering With Implicit Feedback	Machine Learning, Privacy

Venue	Title	Topic
USENIX ATC	Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning	Machine Learning, Privacy
SIGMETRICS	Who Filters the Filters: Understanding the Growth, Usefulness and Efficiency of Crowdsourced Ad Blocking	Machine Learning, Privacy
IEEE S&P	AdGraph: A Machine Learning Approach to Automatic and Effective Adblocking	Machine Learning, Privacy
MLSys	Privacy-Preserving Bandits	Machine Learning, Privacy
CHI	Evaluating the End-User Experience of Private Browsing Mode	Machine Learning, Privacy

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