most citedUnderstanding Users' Security and Privacy Concerns and Attitudes Towards Conversational AI Platforms

13 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025

Virtual Reality, Real Problems: A Longitudinal Security Analysis of VR Firmware

Vamsi Shankar Simhadri, Yichang Xiong, Habiba Farrukh +1

Virtual Reality (VR) technology is rapidly growing in recent years. VR devices such as Meta Quest 3 utilize numerous sensors to collect users' data to provide an immersive experien…

cs.CR202513 cited

Understanding Users' Security and Privacy Concerns and Attitudes Towards Conversational AI Platforms

Mutahar Ali, Arjun Arunasalam, Habiba Farrukh

The widespread adoption of conversational AI platforms has introduced new security and privacy risks. While these risks and their mitigation strategies have been extensively resear…

cs.LG20212 cited

New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning

Siddharth Divi, Yi-Shan Lin, Habiba Farrukh +1

In Federated Learning (FL), the clients learn a single global model (FedAvg) through a central aggregator. In this setting, the non-IID distribution of the data across clients rest…

cs.LG20212 cited

Unifying Distillation with Personalization in Federated Learning

Siddharth Divi, Habiba Farrukh, Berkay Celik

Federated learning (FL) is a decentralized privacy-preserving learning technique in which clients learn a joint collaborative model through a central aggregator without sharing the…

cs.CR20219 cited

S3: Side-Channel Attack on Stylus Pencil through Sensors

Habiba Farrukh, Tinghan Yang, Hanwen Xu +3

With smart devices being an essential part of our everyday lives, unsupervised access to the mobile sensors' data can result in a multitude of side-channel attacks. In this paper,…