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20152022
most citedStealing Machine Learning Models via Prediction APIs

733 citations · 1.4k across the 7 of their papers we have counts for

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9 papers · 1 filter

cs.CR2022★ 26 cited

Strategic Latency Reduction in Blockchain Peer-to-Peer Networks

Weizhao Tang, Lucianna Kiffer, Giulia Fanti +1

Most permissionless blockchain networks run on peer-to-peer (P2P) networks, which offer flexibility and decentralization at the expense of performance (e.g., network latency). Hist…

cs.CR2021

Clockwork Finance: Automated Analysis of Economic Security in Smart Contracts

Kushal Babel, Philip Daian, Mahimna Kelkar +1

We introduce the Clockwork Finance Framework (CFF), a general purpose, formal verification framework for mechanized reasoning about the economic security properties of composed dec…

cs.CR2021

Forsage: Anatomy of a Smart-Contract Pyramid Scheme

Tyler Kell, Haaroon Yousaf, Sarah Allen +2

Pyramid schemes are investment scams in which top-level participants in a hierarchical network recruit and profit from an expanding base of defrauded newer participants. Pyramid sc…

cs.CR2019

BDoS: Blockchain Denial of Service

Michael Mirkin, Yan Ji, Jonathan Pang +3

Proof-of-work (PoW) cryptocurrency blockchains like Bitcoin secure vast amounts of money. Their operators, called miners, expend resources to generate blocks and receive monetary r…

cs.CR2019★ 21 cited

SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning

Charlie Hou, Mingxun Zhou, Yan Ji +4

Incentive mechanisms are central to the functionality of permissionless blockchains: they incentivize participants to run and secure the underlying consensus protocol. Designing in…

cs.CR2019★ 130 cited

DECO: Liberating Web Data Using Decentralized Oracles for TLS

Fan Zhang, Sai Krishna Deepak Maram, Harjasleen Malvai +2

Thanks to the widespread deployment of TLS, users can access private data over channels with end-to-end confidentiality and integrity. What they cannot do, however, is prove to thi…

cs.CR2019★ 61 cited

Flash Boys 2.0: Frontrunning, Transaction Reordering, and Consensus Instability in Decentralized Exchanges

Philip Daian, Steven Goldfeder, Tyler Kell +5

Blockchains, and specifically smart contracts, have promised to create fair and transparent trading ecosystems. Unfortunately, we show that this promise has not been met. We docume…

cs.CR2018★ 428 cited

Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contract Execution

Raymond Cheng, Fan Zhang, Jernej Kos +6

Smart contracts are applications that execute on blockchains. Today they manage billions of dollars in value and motivate visionary plans for pervasive blockchain deployment. While…

cs.CR2016★ 733 cited

Stealing Machine Learning Models via Prediction APIs

Florian Tramèr, Fan Zhang, Ari Juels +2

Machine learning (ML) models may be deemed confidential due to their sensitive training data, commercial value, or use in security applications. Increasingly often, confidential ML…