A Survey of Neural Trojan Attacks and Defenses in Deep Learning

15 February 2022

Papers citing "A Survey of Neural Trojan Attacks and Defenses in Deep Learning"

6 / 6 papers shown

Title
Understanding Impacts of Task Similarity on Backdoor Attack and Detection Di Tang Rui Zhu Xiaofeng Wang Haixu Tang Yi Chen AAML 18 5 0 12 Oct 2022
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection Yuanchun Li Jiayi Hua Haoyu Wang Chunyang Chen Yunxin Liu FedML SILM 86 75 0 18 Jan 2021
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks Erwin Quiring Konrad Rieck AAML 51 70 0 19 Mar 2020
Clean-Label Backdoor Attacks on Video Recognition Models Shihao Zhao Xingjun Ma Xiang Zheng James Bailey Jingjing Chen Yu-Gang Jiang AAML 196 274 0 06 Mar 2020
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 182 1,032 0 29 Nov 2018