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Found 8 papers, 2 papers with code
Data Augmentation for Dementia Detection in Spoken Language
In this work, we investigate data augmentation techniques for the task of AD detection and perform an empirical evaluation of the different approaches on two kinds of models for both the text and audio domains.
Using 3D Shadows to Detect Object Hiding Attacks on Autonomous Vehicle Perception
We achieve this by searching for void regions and locating the obstacles that cause these shadows.
Temporal Consistency Checks to Detect LiDAR Spoofing Attacks on Autonomous Vehicle Perception
In particular, model-level LiDAR spoofing attacks aim to inject fake depth measurements to elicit ghost objects that are erroneously detected by 3D Object Detectors, resulting in hazardous driving decisions.
Quantifying and Localizing Usable Information Leakage from Neural Network Gradients
Our proposed framework enables clients to localize and quantify the private information leakage in a layer-wise manner, and enables a better understanding of the sources of information leakage in collaborative learning, which can be used by future studies to benchmark new attacks and defense mechanisms.
Object Removal Attacks on LiDAR-based 3D Object Detectors
LiDARs play a critical role in Autonomous Vehicles' (AVs) perception and their safe operations.
Layer-wise Characterization of Latent Information Leakage in Federated Learning
Training deep neural networks via federated learning allows clients to share, instead of the original data, only the model trained on their data.
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments
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 Neural Networks (DNNs).
Understanding IoT Security Through the Data Crystal Ball: Where We Are Now and Where We Are Going to Be
We systemize this process, by proposing a taxonomy for the IoT ecosystem and organizing IoT security into five problem areas.
Cryptography and Security
