A Survey on Federated Learning Poisoning Attacks and Defenses
Authors: Junchuan Lianga, Rong Wang, Chaosheng Feng, Chin-Chen Chang | Published: 2023-06-06
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Poisoning Network Flow Classifiers
Authors: Giorgio Severi, Simona Boboila, Alina Oprea, John Holodnak, Kendra Kratkiewicz, Jason Matterer | Published: 2023-06-02
Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning
Authors: Deniz Koyuncu, Alex Gittens, Bülent Yener, Moti Yung | Published: 2023-05-31
Attacks on Online Learners: a Teacher-Student Analysis
Authors: Riccardo Giuseppe Margiotta, Sebastian Goldt, Guido Sanguinetti | Published: 2023-05-18 | Updated: 2023-10-29
Security and Privacy Problems in Voice Assistant Applications: A Survey
Authors: Jingjin Li, Chao chen, Lei Pan, Mostafa Rahimi Azghadi, Hossein Ghodosi, Jun Zhang | Published: 2023-04-19
BadVFL: Backdoor Attacks in Vertical Federated Learning
Authors: Mohammad Naseri, Yufei Han, Emiliano De Cristofaro | Published: 2023-04-18 | Updated: 2023-08-23
Exploiting Logic Locking for a Neural Trojan Attack on Machine Learning Accelerators
Authors: Hongye Xu, Dongfang Liu, Cory Merkel, Michael Zuzak | Published: 2023-04-12 | Updated: 2023-04-14
Rethinking the Trigger-injecting Position in Graph Backdoor Attack
Authors: Jing Xu, Gorka Abad, Stjepan Picek | Published: 2023-04-05 | Updated: 2023-04-18
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Authors: Baoyuan Wu, Zihao Zhu, Li Liu, Qingshan Liu, Zhaofeng He, Siwei Lyu | Published: 2023-02-19 | Updated: 2024-01-04
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness
Authors: Bao Gia Doan, Shuiqiao Yang, Paul Montague, Olivier De Vel, Tamas Abraham, Seyit Camtepe, Salil S. Kanhere, Ehsan Abbasnejad, Damith C. Ranasinghe | Published: 2023-01-30