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01/18/2023
One Size Does not Fit All: Quantifying the Risk of Malicious App Encounters for Different Android User Profiles
Previous work has investigated the particularities of security practices...
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09/07/2022
Cerberus: Exploring Federated Prediction of Security Events
Modern defenses against cyberattacks increasingly rely on proactive appr...
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10/06/2021
Inference Attacks Against Graph Neural Networks
Graph is an important data representation ubiquitously existing in the r...
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08/10/2021
A Large-scale Temporal Measurement of Android Malicious Apps: Persistence, Migration, and Lessons Learned
We study the temporal dynamics of potentially harmful apps (PHAs) on And...
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04/04/2021
Marked for Disruption: Tracing the Evolution of Malware Delivery Operations Targeted for Takedown
The malware and botnet phenomenon is among the most significant threats ...
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03/09/2021
ANDRUSPEX : Leveraging Graph Representation Learning to Predict Harmful App Installations on Mobile Devices
Android's security model severely limits the capabilities of anti-malwar...
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02/25/2021
Understanding Worldwide Private Information Collection on Android
Mobile phones enable the collection of a wealth of private information, ...
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02/10/2021
Node-Level Membership Inference Attacks Against Graph Neural Networks
Many real-world data comes in the form of graphs, such as social network...
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07/26/2020
Empowering the Edge Intelligence by Air-Ground Integrated Federated Learning in 6G Networks
Ubiquitous intelligence has been widely recognized as a critical vision ...
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03/24/2020
UAVs as a Service: Boosting Edge Intelligence for Air-Ground Integrated Networks
The air-ground integrated network is a key component of future sixth gen...
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08/09/2019
Gradient Boosting Survival Tree with Applications in Credit Scoring
Credit scoring (Thomas et al., 2002) plays a vital role in the field of ...
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05/29/2019
ATTACK2VEC: Leveraging Temporal Word Embeddings to Understand the Evolution of Cyberattacks
Despite the fact that cyberattacks are constantly growing in complexity,...
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05/24/2019
Tiresias: Predicting Security Events Through Deep Learning
With the increased complexity of modern computer attacks, there is a nee...
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05/07/2019
Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization
In this work, we define a collaborative and privacy-preserving machine t...
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10/28/2011
