11 citations · 26 across the 11 of their papers we have counts for
4 papers · 1 filter
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
Quang H. Nguyen, Yingjie Lao, Tung Pham +2
Recent works have shown that deep neural networks are vulnerable to adversarial examples that find samples close to the original image but can make the model misclassify. Even with…
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions
Thuy Dung Nguyen, Tuan Nguyen, Phi Le Nguyen +3
Federated learning (FL) is a machine learning (ML) approach that allows the use of distributed data without compromising personal privacy. However, the heterogeneous distribution o…
Regression via Implicit Models and Optimal Transport Cost Minimization
Saurav Manchanda, Khoa Doan, Pranjul Yadav +1
This paper addresses the classic problem of regression, which involves the inductive learning of a map, , denoting noise, $f:\mathbb{R}^n\times \mathbb{R}^k \rightarr…
Targeted display advertising: the case of preferential attachment
Saurav Manchanda, Pranjul Yadav, Khoa Doan +1
An average adult is exposed to hundreds of digital advertisements daily (https://www.mediadynamicsinc.com/uploads/files/PR092214-Note-only-150-Ads-2mk.pdf), making the digital adve…