DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning
Authors: Md Tamjid Hossain, Shafkat Islam, Shahriar Badsha, Haoting Shen | Published: 2021-09-21
バックドア攻撃
Excess Capacity and Backdoor Poisoning
Authors: Naren Sarayu Manoj, Avrim Blum | Published: 2021-09-02 | Updated: 2021-11-03
Machine Unlearning of Features and Labels
Authors: Alexander Warnecke, Lukas Pirch, Christian Wressnegger, Konrad Rieck | Published: 2021-08-26 | Updated: 2023-08-07
Advances in adversarial attacks and defenses in computer vision: A survey
Authors: Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah | Published: 2021-08-01 | Updated: 2021-09-02
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers
Authors: Stefanos Koffas, Jing Xu, Mauro Conti, Stjepan Picek | Published: 2021-07-30 | Updated: 2022-03-06
Accumulative Poisoning Attacks on Real-time Data
Authors: Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu | Published: 2021-06-18 | Updated: 2021-10-26
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
Authors: Hossein Souri, Liam Fowl, Rama Chellappa, Micah Goldblum, Tom Goldstein | Published: 2021-06-16 | Updated: 2022-10-13
Stealthy Backdoors as Compression Artifacts
Authors: Yulong Tian, Fnu Suya, Fengyuan Xu, David Evans | Published: 2021-04-30
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
Authors: Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh | Published: 2021-04-22
Adversarial Training for Deep Learning-based Intrusion Detection Systems
Authors: Islam Debicha, Thibault Debatty, Jean-Michel Dricot, Wim Mees | Published: 2021-04-20