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20152021
most citedIoT Sentinel: Automated Device-Type Identification for Security Enforcement in IoT

669 citations · 778 across the 10 of their papers we have counts for

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Showing cs.CRShow all

8 papers · 1 filter

cs.CR2021★ 4 cited

FLAME: Taming Backdoors in Federated Learning (Extended Version 1)

Thien Duc Nguyen, Phillip Rieger, Huili Chen +10

Federated Learning (FL) is a collaborative machine learning approach allowing participants to jointly train a model without having to share their private, potentially sensitive loc…

cs.CR2020★ 4 cited

WAFFLE: Watermarking in Federated Learning

Buse Gul Atli, Yuxi Xia, Samuel Marchal +1

Federated learning is a distributed learning technique where machine learning models are trained on client devices in which the local training data resides. The training is coordin…

cs.CR2019★ 57 cited

DAWN: Dynamic Adversarial Watermarking of Neural Networks

Sebastian Szyller, Buse Gul Atli, Samuel Marchal +1

Training machine learning (ML) models is expensive in terms of computational power, amounts of labeled data and human expertise. Thus, ML models constitute intellectual property (I…

cs.CR2018★ 33 cited

PRADA: Protecting against DNN Model Stealing Attacks

Mika Juuti, Sebastian Szyller, Samuel Marchal +1

Machine learning (ML) applications are increasingly prevalent. Protecting the confidentiality of ML models becomes paramount for two reasons: (a) a model can be a business advantag…

cs.CR2018

DÏoT: A Federated Self-learning Anomaly Detection System for IoT

Thien Duc Nguyen, Samuel Marchal, Markus Miettinen +3

IoT devices are increasingly deployed in daily life. Many of these devices are, however, vulnerable due to insecure design, implementation, and configuration. As a result, many net…

cs.CR2017

Profiling Users by Modeling Web Transactions

Radek Tomsu, Samuel Marchal, N. Asokan

Users of electronic devices, e.g., laptop, smartphone, etc. have characteristic behaviors while surfing the Web. Profiling this behavior can help identify the person using a given…

cs.CR2016★ 669 cited

IoT Sentinel: Automated Device-Type Identification for Security Enforcement in IoT

Markus Miettinen, Samuel Marchal, Ibbad Hafeez +3

With the rapid growth of the Internet-of-Things (IoT), concerns about the security of IoT devices have become prominent. Several vendors are producing IP-connected devices for home…

cs.CR2015★ 3 cited

Know Your Phish: Novel Techniques for Detecting Phishing Sites and their Targets

Samuel Marchal, Kalle Saari, Nidhi Singh +1

Phishing is a major problem on the Web. Despite the significant attention it has received over the years, there has been no definitive solution. While the state-of-the-art solution…