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20142021
most citedLeaky Cauldron on the Dark Land: Understanding Memory Side-Channel Hazards in SGX

326 citations · 701 across the 13 of their papers we have counts for

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Showing cs.CRShow all

11 papers · 1 filter

cs.CR2021

DOVE: A Data-Oblivious Virtual Environment

Hyun Bin Lee, Tushar M. Jois, Christopher W. Fletcher +1

Users can improve the security of remote communications by using Trusted Execution Environments (TEEs) to protect against direct introspection and tampering of sensitive data. This…

cs.CR2020★ 3 cited

Smartphone Security Behavioral Scale: A New Psychometric Measurement for Smartphone Security

Hsiao-Ying Huang, Soteris Demetriou, Rini Banerjee +3

Despite widespread use of smartphones, there is no measurement standard targeted at smartphone security behaviors. In this paper we translate a well-known cybersecurity behavioral…

cs.CR2018★ 1 cited

Distributed and Secure ML with Self-tallying Multi-party Aggregation

Yunhui Long, Tanmay Gangwani, Haris Mughees +1

Privacy preserving multi-party computation has many applications in areas such as medicine and online advertisements. In this work, we propose a framework for distributed, secure m…

cs.CR2018★ 161 cited

Understanding Membership Inferences on Well-Generalized Learning Models

Yunhui Long, Vincent Bindschaedler, Lei Wang +5

Membership Inference Attack (MIA) determines the presence of a record in a machine learning model's training data by querying the model. Prior work has shown that the attack is fea…

cs.CR2018★ 75 cited

CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition

Xuejing Yuan, Yuxuan Chen, Yue Zhao +7

The popularity of ASR (automatic speech recognition) systems, like Google Voice, Cortana, brings in security concerns, as demonstrated by recent attacks. The impacts of such threat…

cs.CR2017★ 63 cited

Towards Measuring Membership Privacy

Yunhui Long, Vincent Bindschaedler, Carl A. Gunter

Machine learning models are increasingly made available to the masses through public query interfaces. Recent academic work has demonstrated that malicious users who can query such…

cs.CR2017★ 326 cited

Leaky Cauldron on the Dark Land: Understanding Memory Side-Channel Hazards in SGX

Wenhao Wang, Guoxing Chen, Xiaorui Pan +5

Side-channel risks of Intel's SGX have recently attracted great attention. Under the spotlight is the newly discovered page-fault attack, in which an OS-level adversary induces pag…

cs.CR2017★ 48 cited

Understanding IoT Security Through the Data Crystal Ball: Where We Are Now and Where We Are Going to Be

Nan Zhang, Soteris Demetriou, Xianghang Mi +11

Inspired by the boom of the consumer IoT market, many device manufacturers, start-up companies and technology giants have jumped into the space. Unfortunately, the exciting utility…

cs.CR2017★ 5 cited

Guardian of the HAN: Thwarting Mobile Attacks on Smart-Home Devices Using OS-level Situation Awareness

Soteris Demetriou, Nan Zhang, Yeonjoon Lee +4

A new development of smart-home systems is to use mobile apps to control IoT devices across a Home Area Network (HAN). Those systems tend to rely on the Wi-Fi router to authenticat…

cs.CR2014★ 2 cited

Privacy in the Genomic Era

Muhammad Naveed, Erman Ayday, Ellen W. Clayton +5

Genome sequencing technology has advanced at a rapid pace and it is now possible to generate highly-detailed genotypes inexpensively. The collection and analysis of such data has t…

cs.CR2014★ 15 cited

Network-on-Chip Firewall: Countering Defective and Malicious System-on-Chip Hardware

Michael LeMay, Carl A. Gunter

Mobile devices are in roles where the integrity and confidentiality of their apps and data are of paramount importance. They usually contain a System-on-Chip (SoC), which integrate…