190 citations · 305 across the 19 of their papers we have counts for
21 papers
Explainability-Aware Frustum Attack: Exposing Structural Vulnerabilities in LiDAR-Based 3D Object Detectors
Chengzeng You, Binbin Xu, Soteris Demetriou
The structural vulnerabilities of point cloud-based 3D object detectors remain poorly understood. Prior work has studied adversarial robustness primarily on isolated 3D object mode…
Selective Fine-Tuning for Targeted and Robust Concept Unlearning
Mansi, Avinash Kori, Francesca Toni +1
Text guided diffusion models are used by millions of users, but can be easily exploited to produce harmful content. Concept unlearning methods aim at reducing the models' likelihoo…
Understanding Dementia Speech Alignment with Diffusion-Based Image Generation
Mansi, Anastasios Lepipas, Dominika Woszczyk +2
Text-to-image models generate highly realistic images based on natural language descriptions and millions of users use them to create and share images online. While it is expected…
ClaritySpeech: Dementia Obfuscation in Speech
Dominika Woszczyk, Ranya Aloufi, Soteris Demetriou
Dementia, a neurodegenerative disease, alters speech patterns, creating communication barriers and raising privacy concerns. Current speech technologies, such as automatic speech t…
DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speech
Dominika Woszczyk, Soteris Demetriou
Dementia is a sensitive neurocognitive disorder affecting tens of millions of people worldwide and its cases are expected to triple by 2050. Alarmingly, recent advancements in deme…
Prosody-Driven Privacy-Preserving Dementia Detection
Dominika Woszczyk, Ranya Aloufi, Soteris Demetriou
Speaker embeddings extracted from voice recordings have been proven valuable for dementia detection. However, by their nature, these embeddings contain identifiable information whi…
Adversarial 3D Virtual Patches using Integrated Gradients
Chengzeng You, Zhongyuan Hau, Binbin Xu +1
LiDAR sensors are widely used in autonomous vehicles to better perceive the environment. However, prior works have shown that LiDAR signals can be spoofed to hide real objects from…
Username Squatting on Online Social Networks: A Study on X
Anastasios Lepipas, Anastasia Borovykh, Soteris Demetriou
Adversaries have been targeting unique identifiers to launch typo-squatting, mobile app squatting and even voice squatting attacks. Anecdotal evidence suggest that online social ne…
Data Augmentation for Dementia Detection in Spoken Language
Anna Hlédiková, Dominika Woszczyk, Alican Akman +2
Dementia is a growing problem as our society ages, and detection methods are often invasive and expensive. Recent deep-learning techniques can offer a faster diagnosis and have sho…
Using 3D Shadows to Detect Object Hiding Attacks on Autonomous Vehicle Perception
Zhongyuan Hau, Soteris Demetriou, Emil C. Lupu
Autonomous Vehicles (AVs) are mostly reliant on LiDAR sensors which enable spatial perception of their surroundings and help make driving decisions. Recent works demonstrated attac…
Characterizing Improper Input Validation Vulnerabilities of Mobile Crowdsourcing Services
Sojhal Ismail Khan, Dominika Woszczyk, Chengzeng You +2
Mobile crowdsourcing services (MCS), enable fast and economical data acquisition at scale and find applications in a variety of domains. Prior work has shown that Foursquare and Wa…
Open, Sesame! Introducing Access Control to Voice Services
Dominika Woszczyk, Alvin Lee, Soteris Demetriou
Personal voice assistants (VAs) are shown to be vulnerable against record-and-replay, and other acoustic attacks which allow an adversary to gain unauthorized control of connected…
Temporal Consistency Checks to Detect LiDAR Spoofing Attacks on Autonomous Vehicle Perception
Chengzeng You, Zhongyuan Hau, Soteris Demetriou
LiDAR sensors are used widely in Autonomous Vehicles for better perceiving the environment which enables safer driving decisions. Recent work has demonstrated serious LiDAR spoofin…
Quantifying and Localizing Usable Information Leakage from Neural Network Gradients
Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh +3
In collaborative learning, clients keep their data private and communicate only the computed gradients of the deep neural network being trained on their local data. Several recent…
Object Removal Attacks on LiDAR-based 3D Object Detectors
Zhongyuan Hau, Kenneth T. Co, Soteris Demetriou +1
LiDARs play a critical role in Autonomous Vehicles' (AVs) perception and their safe operations. Recent works have demonstrated that it is possible to spoof LiDAR return signals to…
Layer-wise Characterization of Latent Information Leakage in Federated Learning
Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh +2
Training deep neural networks via federated learning allows clients to share, instead of the original data, only the model trained on their data. Prior work has demonstrated that i…
Non-equilibrium effective field theory and second sound
Michael J. Landry
We investigate the phenomenon of second sound in various states of matter from the perspective of non-equilibrium effective field theory (EFT). In particular, for each state of mat…
Smartphone Security Behavioral Scale: A New Psychometric Measurement for Smartphone Security
Hsiao-Ying Huang, Soteris Demetriou, Rini Banerjee +3
Despite widespread use of smartphones, there is no measurement standard targeted at smartphone security behaviors. In this paper we translate a well-known cybersecurity behavioral…
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas +4
We present DarkneTZ, a framework that uses an edge device's Trusted Execution Environment (TEE) in conjunction with model partitioning to limit the attack surface against Deep Neur…
Understanding IoT Security Through the Data Crystal Ball: Where We Are Now and Where We Are Going to Be
Nan Zhang, Soteris Demetriou, Xianghang Mi +11
Inspired by the boom of the consumer IoT market, many device manufacturers, start-up companies and technology giants have jumped into the space. Unfortunately, the exciting utility…
Guardian of the HAN: Thwarting Mobile Attacks on Smart-Home Devices Using OS-level Situation Awareness
Soteris Demetriou, Nan Zhang, Yeonjoon Lee +4
A new development of smart-home systems is to use mobile apps to control IoT devices across a Home Area Network (HAN). Those systems tend to rely on the Wi-Fi router to authenticat…