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20152026
most citedPractical Black-Box Attacks against Machine Learning

95 citations · 855 across the 81 of their papers we have counts for

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Showing 2017 · cs.CRShow all

5 papers · 2 filters

cs.CR2017

Malware Lineage in the Wild

Irfan Ul Haq, Sergio Chica, Juan Caballero +1

Malware lineage studies the evolutionary relationships among malware and has important applications for malware analysis. A persistent limitation of prior malware lineage approache…

cs.CR2017★ 11 cited

Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting

Samuel Yeom, Irene Giacomelli, Matt Fredrikson +1

Machine learning algorithms, when applied to sensitive data, pose a distinct threat to privacy. A growing body of prior work demonstrates that models produced by these algorithms m…

cs.CR2017★ 24 cited

Locally Differentially Private Heavy Hitter Identification

Tianhao Wang, Ninghui Li, Somesh Jha

The notion of Local Differential Privacy (LDP) enables users to answer sensitive questions while preserving their privacy. The basic LDP frequent oracle protocol enables the aggreg…

cs.CR2017★ 4 cited

Policy by Example: An Approach for Security Policy Specification

Adwait Nadkarni, William Enck, Somesh Jha +1

Policy specification for personal user data is a hard problem, as it depends on many factors that cannot be predetermined by system developers. Simultaneously, systems are increasi…

cs.CR2017★ 7 cited

Optimizing Locally Differentially Private Protocols

Tianhao Wang, Jeremiah Blocki, Ninghui Li +1

Protocols satisfying Local Differential Privacy (LDP) enable parties to collect aggregate information about a population while protecting each user's privacy, without relying on a…