Improved Matrix Gaussian Mechanism for Differential Privacy
Authors: Jungang Yang, Liyao Xiang, Weiting Li, Wei Liu, Xinbing Wang | Published: 2021-04-30
Statistical Methods
Anomaly Detection using Principles of Human Perception
Authors: Nassir Mohammad | Published: 2021-03-23 | Updated: 2022-05-13
Quantifying identifiability to choose and audit $ε$ in differentially private deep learning
Authors: Daniel Bernau, Günther Eibl, Philip W. Grassal, Hannah Keller, Florian Kerschbaum | Published: 2021-03-04 | Updated: 2021-07-20
Research Challenges in Designing Differentially Private Text Generation Mechanisms
Authors: Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier | Published: 2020-12-10
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
Authors: Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama | Published: 2020-10-22 | Updated: 2021-07-11
Network Moments: Extensions and Sparse-Smooth Attacks
Authors: Modar Alfadly, Adel Bibi, Emilio Botero, Salman Alsubaihi, Bernard Ghanem | Published: 2020-06-21
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data
Authors: Zhun Deng, Linjun Zhang, Amirata Ghorbani, James Zou | Published: 2020-06-15 | Updated: 2021-02-21
Distributional Robustness with IPMs and links to Regularization and GANs
Authors: Hisham Husain | Published: 2020-06-08
Data-Driven Model-Based Analysis of the Ethereum Verifier’s Dilemma
Authors: Maher Alharby, Roben Castagna Lunardi, Amjad Aldweesh, Aad van Moorsel | Published: 2020-04-27
TSS: Transformation-Specific Smoothing for Robustness Certification
Authors: Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Bhavya Kailkhura, Tao Xie, Ce Zhang, Bo Li | Published: 2020-02-27 | Updated: 2021-11-16