One Parameter Defense — Defending against Data Inference Attacks via Differential Privacy
Authors: Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou | Published: 2022-03-13
Literature Database
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior
Authors: Yinpeng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu | Published: 2022-03-13
An integrated Auto Encoder-Block Switching defense approach to prevent adversarial attacks
Authors: Anirudh Yadav, Ashutosh Upadhyay, S. Sharanya | Published: 2022-03-11
Designing ML-Resilient Locking at Register-Transfer Level
Authors: Dominik Sisejkovic, Luca Collini, Benjamin Tan, Christian Pilato, Ramesh Karri, Rainer Leupers | Published: 2022-03-10 | Updated: 2022-04-06
Evaluation of Machine Learning Algorithms in Network-Based Intrusion Detection System
Authors: Tuan-Hong Chua, Iftekhar Salam | Published: 2022-03-10
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks
Authors: David Hin, Andrey Kan, Huaming Chen, M. Ali Babar | Published: 2022-03-10 | Updated: 2022-03-25
The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems
Authors: Giovanni Apruzzese, Luca Pajola, Mauro Conti | Published: 2022-03-09
Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection
Authors: João Vitorino, Nuno Oliveira, Isabel Praça | Published: 2022-03-08 | Updated: 2022-03-29
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data
Authors: Lianlian Jiang, Yuexuan Wang, Wenyi Zheng, Chao Jin, Zengxiang Li, Sin G. Teo | Published: 2022-03-08
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation
Authors: Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu | Published: 2022-03-08