DAD++: Improved Data-free Test Time Adversarial Defense
Authors: Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty | Published: 2023-09-10
Literature Database
Classification of Spam URLs Using Machine Learning Approaches
Authors: Omar Husni Odeh, Anas Arram, Murad Njoum | Published: 2023-09-10 | Updated: 2023-12-03
Bicoptor 2.0: Addressing Challenges in Probabilistic Truncation for Enhanced Privacy-Preserving Machine Learning
Authors: Lijing Zhou, Qingrui Song, Su Zhang, Ziyu Wang, Xianggui Wang, Yong Li | Published: 2023-09-10 | Updated: 2024-03-06
Compact: Approximating Complex Activation Functions for Secure Computation
Authors: Mazharul Islam, Sunpreet S. Arora, Rahul Chatterjee, Peter Rindal, Maliheh Shirvanian | Published: 2023-09-09 | Updated: 2024-03-17
Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences
Authors: Jeremiah Birrell, Mohammadreza Ebrahimi | Published: 2023-09-07
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification
Authors: Jacopo Talpini, Fabio Sartori, Marco Savi | Published: 2023-09-05 | Updated: 2024-04-09
martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture
Authors: Qi Li, Zhuotao Liu, Qi Li, Ke Xu | Published: 2023-09-03 | Updated: 2024-05-09
An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems
Authors: Feng Bao, Zezhong Zhang, Guannan Zhang | Published: 2023-09-02 | Updated: 2024-08-13
Towards Code Watermarking with Dual-Channel Transformations
Authors: Borui Yang, Wei Li, Liyao Xiang, Bo Li | Published: 2023-09-02 | Updated: 2024-01-02
Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models
Authors: Changyu Liu, Yuling Jiao, Junhui Wang, Jian Huang | Published: 2023-09-02