English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Machine Learning as a Service (MLaaS) APIs provide ready-to-use andhigh-utility encoders that generate vector representations for given inputs.Since these encoders are very costly to train, they become lucrative targetsfor model stealing attacks during which an adversary leverages query access tothe API to replicate the encoder locally at a fraction of the original trainingcosts. We propose Bucks for Buckets (B4B), the first active defense thatprevents stealing while the attack is happening without degradingrepresentation quality for legitimate API users. Our defense relies on theobservation that the representations returned to adversaries who try to stealthe encoder's functionality cover a significantly larger fraction of theembedding space than representations of legitimate users who utilize theencoder to solve a particular downstream task.vB4B leverages this to adaptivelyadjust the utility of the returned representations according to a user'scoverage of the embedding space. To prevent adaptive adversaries from eludingour defense by simply creating multiple user accounts (sybils), B4B alsoindividually transforms each user's representations. This prevents theadversary from directly aggregating representations over multiple accounts tocreate their stolen encoder copy. Our active defense opens a new path towardssecurely sharing and democratizing encoders over public APIs.

Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders