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USENIX Security '20 - Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
Data Poisoning Attacks and Defenses to Crowdsourcing Systems
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis
Talk 5: Tom Goldstein - Poisoning Attacks on Computer Vision Models
NDSS 2021 XDA: Accurate, Robust Disassembly with Transfer Learning
[ICPADS'21] Byzantine-robust Federated Learning through Spatial-temporal Analysis
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Last Updated: October 27, 2026
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Presenter: Pooya Tavallali (UC Merced) Date: 2/5/ Authors: Minghong Fang (Iowa State University), Minghao Sun (Iowa State University), Qi Li (Iowa State University), Neil ... PODC-2020 paper by El-Mhamdi, El-Mahdi; Guerraoui, Rachid; Guirguis, Arsany; Hoang, Lê Nguyên; Rouault, Sébastien. SESSION 3B-1 Securing Federated Sensitive Topic Classification against SESSION 6C-1 POSEIDON: Privacy-Preserving Federated Neural Network Learning In this paper, we address the problem of ... A Google TechTalk, 2020/7/29, presented by Ashwinee Panda, UC Berkeley ABSTRACT: Hello and welcome to our presentation on approximate fault tolerance in distributed Published in International Joint Conference on Neural Networks (IJCNN) 2022 Yuwei Sun, Hideya Ochiai, Jun Sakuma ... Okay so one last thing i just wanted to mention is if you're interested in studying SESSION 1B-3 XDA: Accurate, Robust Disassembly with Transfer Learning Accurate and robust disassembly of stripped binaries ... Presented at ICPADS'21. MoSIS Lab mosis.eecs.utk.edu/
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