Backdoor Attack and Defense for Deep Regression

6 September 2021

Papers citing "Backdoor Attack and Defense for Deep Regression"

6 / 6 papers shown

Title
Defending Deep Regression Models against Backdoor Attacks Lingyu Du Yupei Liu Jinyuan Jia Guohao Lan AAML 36 1 0 07 Nov 2024
BadGD: A unified data-centric framework to identify gradient descent vulnerabilities ChiHua Wang Guang Cheng SILM 48 5 0 24 May 2024
Poisoning Attacks on Federated Learning for Autonomous Driving Sonakshi Garg Hugo Jönsson Gustav Kalander Axel Nilsson Bhhaanu Pirange Viktor Valadi Johan Östman AAML 26 1 0 02 May 2024
Temporal-Distributed Backdoor Attack Against Video Based Action Recognition Xi Li Songhe Wang Rui Huang Mahanth K. Gowda G. Kesidis AAML 41 6 0 21 Aug 2023
Backdoor Mitigation by Correcting the Distribution of Neural Activations Xi Li Zhen Xiang David J. Miller G. Kesidis AAML 13 0 0 18 Aug 2023
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks Xi Li Zhen Xiang David J. Miller G. Kesidis AAML 174 13 0 06 Dec 2021