4 papers
Temporal-Guided Spiking Neural Networks for Event-Based Human Action Recognition
Siyuan Yang, Shilin Lu, Shizheng Wang +3
This paper explores the promising interplay between spiking neural networks (SNNs) and event-based cameras for privacy-preserving human action recognition (HAR). The unique feature…
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
Yi Yu, Song Xia, Siyuan Yang +5
Most existing unlearnable strategies focus on preventing unauthorized users from training single-task learning (STL) models with personal data. Nevertheless, the paradigm has recen…
Towards Physical World Backdoor Attacks against Skeleton Action Recognition
Qichen Zheng, Yi Yu, Siyuan Yang +3
Skeleton Action Recognition (SAR) has attracted significant interest for its efficient representation of the human skeletal structure. Despite its advancements, recent studies have…
Unlearnable Examples Detection via Iterative Filtering
Yi Yu, Qichen Zheng, Siyuan Yang +6
Deep neural networks are proven to be vulnerable to data poisoning attacks. Recently, a specific type of data poisoning attack known as availability attacks has led to the failure…