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20202026
most citedMachine Learning with Confidential Computing: A Systematization of Knowledge

28 citations · 36 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CR2026

NERVE Attacks: Breaking AI-Powered Brain-Computer Interfaces

Zahra Tarkhani, Georgios Akkogiounoglou, Lorena Qendro +2

The rapid integration of AI into human-centred systems such as Brain-Computer Interfaces (BCIs) has created a poorly understood attack surface linking neural signals to physical sy…

cs.CR2023

Enabling Lightweight Privilege Separation in Applications with MicroGuards

Zahra Tarkhani, Anil Madhavapeddy

Application compartmentalization and privilege separation are our primary weapons against ever-increasing security threats and privacy concerns on connected devices. Despite signif…

cs.CR2022★ 28 cited

Machine Learning with Confidential Computing: A Systematization of Knowledge

Fan Mo, Zahra Tarkhani, Hamed Haddadi

Privacy and security challenges in Machine Learning (ML) have become increasingly severe, along with ML's pervasive development and the recent demonstration of large attack surface…

cs.CR2022★ 2 cited

Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces

Zahra Tarkhani, Lorena Qendro, Malachy O'Connor Brown +3

Brain computing interfaces (BCI) are used in a plethora of safety/privacy-critical applications, ranging from healthcare to smart communication and control. Wearable BCI setups typ…

cs.CR2020★ 4 cited

Enclave-Aware Compartmentalization and Secure Sharing with Sirius

Zahra Tarkhani, Anil Madhavapeddy

Hardware-assisted trusted execution environments (TEEs) are critical building blocks of many modern applications. However, they have a one-way isolation model that introduces a sem…