CLEANN: Accelerated Trojan Shield for Embedded Neural Networks

4 September 2020

Papers citing "CLEANN: Accelerated Trojan Shield for Embedded Neural Networks"

7 / 7 papers shown

Title
MergeGuard: Efficient Thwarting of Trojan Attacks in Machine Learning Models Soheil Zibakhsh Shabgahi Yaman Jandali F. Koushanfar MoMe AAML 62 0 0 06 May 2025
BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing Jiali Wei Ming Fan Wenjing Jiao Wuxia Jin Ting Liu AAML 31 11 0 25 Jan 2023
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition Hasan Hammoud Shuming Liu Mohammad Alkhrashi Fahad Albalawi Guohao Li AAML 38 8 0 03 Jan 2023
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning Jianyi Zhang Fangjiao Zhang Qichao Jin Zhiqiang Wang Xiaodong Lin X. Hei AAML FedML 38 1 0 28 Dec 2022
TESDA: Transform Enabled Statistical Detection of Attacks in Deep Neural Networks C. Amarnath Aishwarya H. Balwani Kwondo Ma Abhijit Chatterjee AAML 23 3 0 16 Oct 2021
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 45 590 0 17 Jul 2020
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 182 289 0 02 Dec 2018