Literature Database

Datasets are not Enough: Challenges in Labeling Network Traffic

Authors: Jorge Guerra, Carlos Catania, Eduardo Veas | Published: 2021-10-12 | Updated: 2021-12-30
Challenges of Data Labeling
Data Generation
Role of Machine Learning

Sharing FANCI Features: A Privacy Analysis of Feature Extraction for DGA Detection

Authors: Benedikt Holmes, Arthur Drichel, Ulrike Meyer | Published: 2021-10-12
Data Generation
Privacy Violation
Machine Learning Algorithm

Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference

Authors: Jiaxiang Liu, Simon Oya, Florian Kerschbaum | Published: 2021-10-11
DP-SGD
Membership Inference

The Skellam Mechanism for Differentially Private Federated Learning

Authors: Naman Agarwal, Peter Kairouz, Ziyu Liu | Published: 2021-10-11 | Updated: 2021-10-29
Privacy Violation
Distributed Learning
Federated Learning

Adversarial Attacks in a Multi-view Setting: An Empirical Study of the Adversarial Patches Inter-view Transferability

Authors: Bilel Tarchoun, Ihsen Alouani, Anouar Ben Khalifa, Mohamed Ali Mahjoub | Published: 2021-10-10
Data Generation
Adversarial Attack Methods
Physical attack

Combining Differential Privacy and Byzantine Resilience in Distributed SGD

Authors: Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Sebastien Rouault, John Stephan | Published: 2021-10-08 | Updated: 2023-10-05
DP-SGD
Algorithm Design
Distributed Learning

Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks

Authors: Hanxun Huang, Yisen Wang, Sarah Monazam Erfani, Quanquan Gu, James Bailey, Xingjun Ma | Published: 2021-10-07 | Updated: 2022-01-23
Robustness Evaluation
Adversarial Example
Adversarial Attack Methods

The Connection between Out-of-Distribution Generalization and Privacy of ML Models

Authors: Divyat Mahajan, Shruti Tople, Amit Sharma | Published: 2021-10-07
Privacy Violation
Membership Inference
Robustness Evaluation

On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models

Authors: Yunhao Yang, Parham Gohari, Ufuk Topcu | Published: 2021-10-06 | Updated: 2022-06-15
Comparison of RNN and FFNN
Membership Inference

Two-Bit Aggregation for Communication Efficient and Differentially Private Federated Learning

Authors: Mohammad Aghapour, Aidin Ferdowsi, Walid Saad | Published: 2021-10-06
Algorithm
Privacy Risk Management
Federated Learning