On Defending Against Label Flipping Attacks on Malware Detection Systems

On Defending Against Label Flipping Attacks on Malware Detection Systems

13 August 2019

Mohammad Shojafar

Zahra Pooranian

Papers citing "On Defending Against Label Flipping Attacks on Malware Detection Systems"

12 / 12 papers shown

Title
Robustness of Selected Learning Models under Label-Flipping Attack Sarvagya Bhargava Mark Stamp AAML 66 0 0 21 Jan 2025
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights Aiwei Liu Haoping Bai Zhiyun Lu Yanchao Sun Xiang Kong ... Albin Madappally Jose Xiaojiang Liu Lijie Wen Philip S. Yu Meng Cao 43 9 0 06 Oct 2024
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning Jingfeng Zhang Bo Song Haohan Wang Bo Han Tongliang Liu Lei Liu Masashi Sugiyama AAML NoLa 32 14 0 28 May 2023
On the Robustness of Random Forest Against Untargeted Data Poisoning: An Ensemble-Based Approach M. Anisetti C. Ardagna Alessandro Balestrucci Nicola Bena Ernesto Damiani C. Yeun AAML OOD 22 10 0 28 Sep 2022
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning) Rui Shu Tianpei Xia Huy Tu Laurie A. Williams Tim Menzies 11 0 0 02 May 2022
A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network Qinghao Zhang Miao Ye Hongbing Qiu Yong Wang Xiaofang Deng 20 13 0 19 Feb 2022
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning A. Mondal Harpreet Virk Debayan Gupta 32 15 0 06 Feb 2022
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems Giovanni Apruzzese M. Andreolini Luca Ferretti Mirco Marchetti M. Colajanni AAML 26 104 0 17 Jun 2021
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT Pavlos Papadopoulos Oliver Thornewill von Essen Nikolaos Pitropakis C. Chrysoulas Alexios Mylonas William J. Buchanan AAML 17 50 0 26 Apr 2021
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? Antonio Emanuele Cinà Sebastiano Vascon Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo AAML 19 9 0 23 Mar 2021
Deep Learning for Android Malware Defenses: a Systematic Literature Review Yue Liu C. Tantithamthavorn Li Li Yepang Liu AAML 30 77 0 09 Mar 2021
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training Yingda Xia Fengze Liu D. Yang Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth 175 124 0 29 Nov 2018