40 citations · 107 across the 9 of their papers we have counts for
14 papers
A Manifold View of Adversarial Risk
Wenjia Zhang, Yikai Zhang, Xiaoling Hu +3
The adversarial risk of a machine learning model has been widely studied. Most previous works assume that the data lies in the whole ambient space. We propose to take a new angle a…
Obtaining Approximately Optimal and Diverse Solutions via Dispersion
Jie Gao, Mayank Goswami, Karthik C. S. +3
There has been a long-standing interest in computing diverse solutions to optimization problems. Motivated by reallocation of governmental institutions in Sweden, in 1995 J. Krarup…
AI and conventional methods for UCT projection data estimation
Ankur Kumar, Prasunika Khare, Mayank Goswami
A 2D Compact ultrasound computerized tomography (UCT) system is developed. Fully automatic post processing tools involving signal and image processing are developed as well. Square…
Deep Learning models for benign and malign Ocular Tumor Growth Estimation
Mayank Goswami
Relatively abundant availability of medical imaging data has provided significant support in the development and testing of Neural Network based image processing methods. Clinician…
Topological Detection of Trojaned Neural Networks
Songzhu Zheng, Yikai Zhang, Hubert Wagner +2
Deep neural networks are known to have security issues. One particular threat is the Trojan attack. It occurs when the attackers stealthily manipulate the model's behavior through…
Learning with Feature-Dependent Label Noise: A Progressive Approach
Yikai Zhang, Songzhu Zheng, Pengxiang Wu +2
Label noise is frequently observed in real-world large-scale datasets. The noise is introduced due to a variety of reasons; it is heterogeneous and feature-dependent. Most existing…