Automated discovery of trade-off between utility, privacy and fairness in machine learning models
Authors: Bogdan Ficiu, Neil D. Lawrence, Andrei Paleyes | Published: 2023-11-27
Evaluation Method
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release
Authors: Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran | Published: 2023-11-23 | Updated: 2023-11-29
How Far Have We Gone in Vulnerability Detection Using Large Language Models
Authors: Zeyu Gao, Hao Wang, Yuchen Zhou, Wenyu Zhu, Chao Zhang | Published: 2023-11-21 | Updated: 2023-12-22
From Principle to Practice: Vertical Data Minimization for Machine Learning
Authors: Robin Staab, Nikola Jovanović, Mislav Balunović, Martin Vechev | Published: 2023-11-17 | Updated: 2023-11-22
FedTruth: Byzantine-Robust and Backdoor-Resilient Federated Learning Framework
Authors: Sheldon C. Ebron Jr., Kan Yang | Published: 2023-11-17
DEMASQ: Unmasking the ChatGPT Wordsmith
Authors: Kavita Kumari, Alessandro Pegoraro, Hossein Fereidooni, Ahmad-Reza Sadeghi | Published: 2023-11-08
Learning Type Inference for Enhanced Dataflow Analysis
Authors: Lukas Seidel, Sedick David Baker Effendi, Xavier Pinho, Konrad Rieck, Brink van der Merwe, Fabian Yamaguchi | Published: 2023-10-01 | Updated: 2023-10-04
Performance evaluation of Machine learning algorithms for Intrusion Detection System
Authors: Sudhanshu Sekhar Tripathy, Bichitrananda Behera | Published: 2023-10-01
Evaluating Superhuman Models with Consistency Checks
Authors: Lukas Fluri, Daniel Paleka, Florian Tramèr | Published: 2023-06-16 | Updated: 2023-10-19
A Dependable Hybrid Machine Learning Model for Network Intrusion Detection
Authors: Md. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam, Md Ashraf Uddin, Arnisha Akhter, Mohammad Abu Yousuf, Fares Alharbi, Mohammad Ali Moni | Published: 2022-12-08 | Updated: 2023-01-27