Adversarial Examples Detection with Bayesian Neural Network
Authors: Yao Li, Tongyi Tang, Cho-Jui Hsieh, Thomas C. M. Lee | Published: 2021-05-18 | Updated: 2024-02-23
Performance Evaluation
PassFlow: Guessing Passwords with Generative Flows
Authors: Giulio Pagnotta, Dorjan Hitaj, Fabio De Gaspari, Luigi V. Mancini | Published: 2021-05-13 | Updated: 2021-12-14
Automated Software Vulnerability Assessment with Concept Drift
Authors: Triet H. M. Le, Bushra Sabir, M. Ali Babar | Published: 2021-03-21
Modeling Multivariate Cyber Risks: Deep Learning Dating Extreme Value Theory
Authors: Mingyue Zhang Wu, Jinzhu Luo, Xing Fang, Maochao Xu, Peng Zhao | Published: 2021-03-15
On Ensemble Learning
Authors: Mark Stamp, Aniket Chandak, Gavin Wong, Allen Ye | Published: 2021-03-07
Efficient Encrypted Inference on Ensembles of Decision Trees
Authors: Kanthi Sarpatwar, Karthik Nandakumar, Nalini Ratha, James Rayfield, Karthikeyan Shanmugam, Sharath Pankanti, Roman Vaculin | Published: 2021-03-05
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
Authors: Yansong Gao, Minki Kim, Chandra Thapa, Sharif Abuadbba, Zhi Zhang, Seyit A. Camtepe, Hyoungshick Kim, Surya Nepal | Published: 2021-03-03
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning
Authors: Farhad Farokhi | Published: 2020-11-30 | Updated: 2020-12-01
Adversarial Examples for $k$-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
Authors: Chawin Sitawarin, Evgenios M. Kornaropoulos, Dawn Song, David Wagner | Published: 2020-11-19 | Updated: 2021-11-01
Adversarially Robust Classification based on GLRT
Authors: Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani | Published: 2020-11-16