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20182026
most citedMitigating Sybils in Federated Learning Poisoning

356 citations · 457 across the 23 of their papers we have counts for

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5 papers · 1 filter

cs.CR2021

One Bad Apple Spoils the Bunch: Transaction DoS in MimbleWimble Blockchains

Seyed Ali Tabatabaee, Charlene Nicer, Ivan Beschastnikh +1

As adoption of blockchain-based systems grows, more attention is being given to privacy of these systems. Early systems like BitCoin provided few privacy features. As a result, sys…

cs.CR2021★ 1 cited

Dissecting the Performance of Chained-BFT

Fangyu Gai, Ali Farahbakhsh, Jianyu Niu +3

Permissioned blockchains employ Byzantine fault-tolerant (BFT) state machine replication (SMR) to reach agreement on an ever-growing, linearly ordered log of transactions. A new pa…

cs.CR2020★ 1 cited

Precise XSS detection and mitigation with Client-side Templates

Jose Carlos Pazos, Jean-Sebastien Legare, Ivan Beschastnikh +1

We present XSnare, a fully client-side XSS solution, implemented as a Firefox extension. Our approach takes advantage of available previous knowledge of a web application's HTML te…

cs.CR2019★ 2 cited

Bandwidth-Efficient Transaction Relay for Bitcoin

Gleb Naumenko, Gregory Maxwell, Pieter Wuille +2

Bitcoin is a top-ranked cryptocurrency that has experienced huge growth and survived numerous attacks. The protocols making up Bitcoin must therefore accommodate the growth of the…

cs.CR2018★ 4 cited

Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting

Clement Fung, Jamie Koerner, Stewart Grant +1

Distributed machine learning (ML) systems today use an unsophisticated threat model: data sources must trust a central ML process. We propose a brokered learning abstraction that a…