4 papers
Attack on Scene Flow using Point Clouds
Haniyeh Ehsani Oskouie, Mohammad-Shahram Moin, Shohreh Kasaei
Deep neural networks have made significant advancements in accurately estimating scene flow using point clouds, which is vital for many applications like video analysis, action rec…
Feeds Don't Tell the Whole Story: Measuring Online-Offline Emotion Alignment
Sina Elahimanesh, Mohammadali Mohammadkhani, Shohreh Kasaei
In contemporary society, social media is deeply integrated into daily life, yet emotional expression often differs between real and online contexts. We studied the Persian communit…
KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search
Nima Jamali, Matina Mahdizadeh Sani, Hanieh Naderi +1
Deep neural networks (DNNs) have demonstrated remarkable performance in analyzing 3D point cloud data. However, their vulnerability to adversarial attacks-such as point dropping, s…
Understanding Key Point Cloud Features for Development Three-dimensional Adversarial Attacks
Hanieh Naderi, Chinthaka Dinesh, Ivan V. Bajic +1
Adversarial attacks pose serious challenges for deep neural network (DNN)-based analysis of various input signals. In the case of three-dimensional point clouds, methods have been…