ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks

30 September 2022

Papers citing "ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks"

8 / 8 papers shown

Title
Performance-lossless Black-box Model Watermarking Na Zhao Kejiang Chen Weiming Zhang Neng H. Yu 44 1 0 11 Dec 2023
Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack Sze Jue Yang Q. Nguyen Chee Seng Chan Khoa D. Doan AAML DiffM 32 0 0 31 Aug 2023
Evil from Within: Machine Learning Backdoors through Hardware Trojans Alexander Warnecke Julian Speith Janka Möller Konrad Rieck C. Paar AAML 24 3 0 17 Apr 2023
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer Fanchao Qi Yangyi Chen Xurui Zhang Mukai Li Zhiyuan Liu Maosong Sun AAML SILM 82 175 0 14 Oct 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 38 16 0 20 Sep 2021
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
Manipulating SGD with Data Ordering Attacks Ilia Shumailov Zakhar Shumaylov Dmitry Kazhdan Yiren Zhao Nicolas Papernot Murat A. Erdogdu Ross J. Anderson AAML 112 91 0 19 Apr 2021
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