activity
20172021
most citedTowards Measuring Membership Privacy

63 citations · 119 across the 6 of their papers we have counts for

collaborators

9 papers

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.CR20203 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.CY2020

Grand Challenges for Embedded Security Research in a Connected World

Wayne Burleson, Kevin Fu, Denise Anthony +7

Protecting embedded security is becoming an increasingly challenging research problem for embedded systems due to a number of emerging trends in hardware, software, networks, and a…

cs.AI2019

Detecting AI Trojans Using Meta Neural Analysis

Xiaojun Xu, Qi Wang, Huichen Li +3

In machine learning Trojan attacks, an adversary trains a corrupted model that obtains good performance on normal data but behaves maliciously on data samples with certain trigger…

cs.CR2018

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

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…