1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2020
Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks
Kirthi Shankar Sivamani, Rajeev Sahay, Aly El Gamal
Recent studies have shown that deep learning models are vulnerable to specifically crafted adversarial inputs that are quasi-imperceptible to humans. In this letter, we propose a n…
cs.CV2019
Feature Losses for Adversarial Robustness
Kirthi Shankar Sivamani
Deep learning has made tremendous advances in computer vision tasks such as image classification. However, recent studies have shown that deep learning models are vulnerable to spe…
cs.CV2019★ 1 cited
Unsupervised Domain Alignment to Mitigate Low Level Dataset Biases
Kirthi Shankar Sivamani
Dataset bias is a well-known problem in the field of computer vision. The presence of implicit bias in any image collection hinders a model trained and validated on a particular da…