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20022022
most citedAre Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models

20 citations · 102 across the 21 of their papers we have counts for

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11 papers · 1 filter

cs.CR2022★ 13 cited

EvilScreen Attack: Smart TV Hijacking via Multi-channel Remote Control Mimicry

Yiwei Zhang, Siqi Ma, Tiancheng Chen +3

Modern smart TVs often communicate with their remote controls (including those smart phone simulated ones) using multiple wireless channels (e.g., Infrared, Bluetooth, and Wi-Fi).…

cs.CR2022★ 20 cited

Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models

Shagufta Mehnaz, Sayanton V. Dibbo, Ehsanul Kabir +2

Increasing use of machine learning (ML) technologies in privacy-sensitive domains such as medical diagnoses, lifestyle predictions, and business decisions highlights the need to be…

cs.CR2021

Fine with "1234"? An Analysis of SMS One-Time Password Randomness in Android Apps

Siqi Ma, Juanru Li, Hyoungshick Kim +4

A fundamental premise of SMS One-Time Password (OTP) is that the used pseudo-random numbers (PRNs) are uniquely unpredictable for each login session. Hence, the process of generati…

cs.CR2020★ 7 cited

Black-box Model Inversion Attribute Inference Attacks on Classification Models

Shagufta Mehnaz, Ninghui Li, Elisa Bertino

Increasing use of ML technologies in privacy-sensitive domains such as medical diagnoses, lifestyle predictions, and business decisions highlights the need to better understand if…

cs.CR2020★ 3 cited

FLAP -- A Federated Learning Framework for Attribute-based Access Control Policies

Amani Abu Jabal, Elisa Bertino, Jorge Lobo +3

Technology advances in areas such as sensors, IoT, and robotics, enable new collaborative applications (e.g., autonomous devices). A primary requirement for such collaborations is…

cs.CR2018★ 2 cited

Gargoyle: A Network-based Insider Attack Resilient Framework for Organizations

Arash Shaghaghi, Salil S. Kanhere, Mohamed Ali Kaafar +2

`Anytime, Anywhere' data access model has become a widespread IT policy in organizations making insider attacks even more complicated to model, predict and deter. Here, we propose…