Towards A Proactive ML Approach for Detecting Backdoor Poison Samples

Towards A Proactive ML Approach for Detecting Backdoor Poison Samples

26 May 2022

Jiachen T. Wang

Saeed Mahloujifar

Papers citing "Towards A Proactive ML Approach for Detecting Backdoor Poison Samples"

9 / 9 papers shown

Title
Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets Wenjie Qu Yuxuan Zhou Tianyu Li Minghui Li Shengshan Hu Wei Luo L. Zhang AAML SILM 43 0 0 16 Apr 2025
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation Haiyang Yu Tian Xie Jiaping Gui Pengyang Wang P. Yi Yue Wu 53 1 0 17 Nov 2024
Finding needles in a haystack: A Black-Box Approach to Invisible Watermark Detection Minzhou Pan Zhengting Wang Xin Dong Vikash Sehwag Lingjuan Lyu Xue Lin 40 3 0 23 Mar 2024
SENet: Visual Detection of Online Social Engineering Attack Campaigns Irfan Ozen Karthika Subramani Phani Vadrevu R. Perdisci 44 2 0 10 Jan 2024
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms Minzhou Pan Yi Zeng Lingjuan Lyu X. Lin R. Jia AAML 29 35 0 22 Feb 2023
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information Yi Zeng Minzhou Pan H. Just Lingjuan Lyu M. Qiu R. Jia AAML 20 168 0 11 Apr 2022
Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting Xiangyu Qi Jifeng Zhu Chulin Xie Yong-Liang Yang AAML 66 35 0 15 Jul 2021
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,217 0 01 Sep 2014