28 citations · 36 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
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…
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…
Tiles: Efficient Intra-Process Privilege Enforcement of Memory Regions
Zahra Tarkhani, Anil Madhavapeddy
With the alarming rate of security advisories and privacy concerns on connected devices, there is an urgent need for strong isolation guarantees in resource-constrained devices tha…