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09/03/2023
The End of the Canonical IoT Botnet: A Measurement Study of Mirai's Descendants
Since the burgeoning days of IoT, Mirai has been established as the cano...
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07/18/2023
Mitigating Intersection Attacks in Anonymous Microblogging
Anonymous microblogging systems are known to be vulnerable to intersecti...
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04/21/2023
Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference Serving Systems
The use of machine learning (ML) inference for various applications is g...
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02/17/2023
Understanding Stationary and Moving Direct Skin Vibrotactile Stimulation on the Palm
Palm-based tactile displays have the potential to evolve from single mot...
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01/18/2023
When the Metaverse Meets Carbon Neutrality: Ongoing Efforts and Directions
The metaverse has recently gained increasing attention from the public. ...
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01/12/2023
Unsupervised Driving Event Discovery Based on Vehicle CAN-data
The data collected from a vehicle's Controller Area Network (CAN) can qu...
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12/30/2022
Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings with Multivariate Occupancy Time Series
In this work, we address the problem of unsupervised moving object segme...
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11/05/2021
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups
Federated learning (FL) enables a set of entities to collaboratively tra...
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09/09/2021
Malware Sight-Seeing: Accelerating Reverse-Engineering via Point-of-Interest-Beacons
New types of malware are emerging at concerning rates. However, analyzin...
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08/19/2021
2PPS – Publish/Subscribe with Provable Privacy
Publish/Subscribe systems like Twitter and Reddit let users communicate ...
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05/19/2021
User Label Leakage from Gradients in Federated Learning
Federated learning enables multiple users to build a joint model by shar...
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05/19/2021
Chameleons on Cloudlets: Elastic Edge Computing Through Microservice Variants
Common deployment models for Edge Computing are based on (composable) mi...
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04/23/2020
Enhancing Privacy via Hierarchical Federated Learning
Federated learning suffers from several privacy-related issues that expo...
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11/29/2019
DeepAlign: Alignment-based Process Anomaly Correction using Recurrent Neural Networks
In this paper, we propose DeepAlign, a novel approach to multi-perspecti...
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05/09/2019
TRIDEnT: Building Decentralized Incentives for Collaborative Security
Sophisticated mass attacks, especially when exploiting zero-day vulnerab...
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05/01/2019
On generating network traffic datasets with synthetic attacks for intrusion detection
Most research in the area of intrusion detection requires datasets to de...
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02/08/2019
BINet: Multi-perspective Business Process Anomaly Classification
In this paper, we introduce BINet, a neural network architecture for rea...
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05/14/2018
A Systematic Approach to Constructing Families of Incremental Topology Control Algorithms Using Graph Transformation
In the communication systems domain, constructing and maintaining networ...
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05/09/2018
A Systematic Approach to Constructing Incremental Topology Control Algorithms Using Graph Transformation
Communication networks form the backbone of our society. Topology contro...
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03/03/2018
Analyzing Business Process Anomalies Using Autoencoders
Businesses are naturally interested in detecting anomalies in their inte...
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02/21/2018
PABO: A Link-Layer Congestion Mitigation Mechanism Based on Packet Bounce
In today's data center, a diverse mix of throughput-sensitive long flows...
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01/17/2018
M-STAR: A Modular, Evidence-based Software Trustworthiness Framework
Despite years of intensive research in the field of software vulnerabili...
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12/11/2017
I Trust my Zombies: A Trust-enabled Botnet
Defending against botnets has always been a cat and mouse game. Cyber-se...
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11/13/2017