Data Poisoning Attacks on Regression Learning and Corresponding Defenses

15 September 2020

Papers citing "Data Poisoning Attacks on Regression Learning and Corresponding Defenses"

7 / 7 papers shown

Title
Formal Logic-guided Robust Federated Learning against Poisoning Attacks Dung T. Nguyen Ziyan An Taylor T. Johnson Meiyi Ma Kevin Leach AAML OOD 40 0 0 05 Nov 2024
The poison of dimensionality Lê-Nguyên Hoang 44 2 0 25 Sep 2024
Learning from Uncertain Data: From Possible Worlds to Possible Models Jiongli Zhu Su Feng Boris Glavic Babak Salimi 42 0 0 28 May 2024
The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions Anna P. Meyer Aws Albarghouthi Loris Dántoni 36 13 0 20 Apr 2023
Testing the Robustness of Learned Index Structures Matthias Bachfischer Renata Borovica-Gajic Benjamin I. P. Rubinstein AAML 18 1 0 23 Jul 2022
Certifying Data-Bias Robustness in Linear Regression Anna P. Meyer Aws Albarghouthi Loris Dántoni 35 3 0 07 Jun 2022
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning Antonio Emanuele Cinà Kathrin Grosse Ambra Demontis Sebastiano Vascon Werner Zellinger Bernhard A. Moser Alina Oprea Battista Biggio Marcello Pelillo Fabio Roli AAML 29 119 0 04 May 2022