Architectural Backdoors in Neural Networks

15 June 2022

Papers citing "Architectural Backdoors in Neural Networks"

20 / 20 papers shown

Title
Threat Modeling for AI: The Case for an Asset-Centric Approach Jose Sanchez Vicarte Marcin Spoczynski Mostafa Elsaid 29 0 0 08 May 2025
A Backdoor Attack Scheme with Invisible Triggers Based on Model Architecture Modification Yuan Ma Xu Ma Jiankang Wei Jinmeng Tang Xiaoyu Zhang Yilun Lyu Kehao Chen Jingtong Huang 83 0 0 22 Dec 2024
Data Free Backdoor Attacks Bochuan Cao Jinyuan Jia Chuxuan Hu Wenbo Guo Zhen Xiang Jinghui Chen Bo-wen Li Dawn Song AAML 74 0 0 09 Dec 2024
BadScan: An Architectural Backdoor Attack on Visual State Space Models Om Suhas Deshmukh Sankalp Nagaonkar A. Tripathi Ashish Mishra Mamba 85 0 0 26 Nov 2024
Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor Abdullah Arafat Miah Yu Bi AAML SILM 32 0 0 03 Sep 2024
Architectural Neural Backdoors from First Principles Harry Langford Ilia Shumailov Yiren Zhao Robert D. Mullins Nicolas Papernot AAML 32 2 0 10 Feb 2024
Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models Sze Jue Yang Chinh D. La Quang H. Nguyen Kok-Seng Wong Anh Tran Chee Seng Chan Khoa D. Doan AAML 21 0 0 06 Dec 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 26 3 0 05 Oct 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 29 0 0 31 Aug 2023
Tools for Verifying Neural Models' Training Data Dami Choi Yonadav Shavit D. Duvenaud MIALM 22 14 0 02 Jul 2023
Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacks Pranav Dahiya Ilia Shumailov Ross J. Anderson SILM AAML 21 0 0 24 Jun 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 44 21 0 19 Feb 2023
Neural Architectural Backdoors Ren Pang Changjiang Li Zhaohan Xi S. Ji Ting Wang AAML 11 0 0 21 Oct 2022
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks Eleanor Clifford Ilia Shumailov Yiren Zhao Ross J. Anderson Robert D. Mullins 23 12 0 30 Sep 2022
Augmentation Backdoors J. Rance Yiren Zhao Ilia Shumailov Robert D. Mullins AAML SILM 53 7 0 29 Sep 2022
Manipulating SGD with Data Ordering Attacks Ilia Shumailov Zakhar Shumaylov Dmitry Kazhdan Yiren Zhao Nicolas Papernot Murat A. Erdogdu Ross J. Anderson AAML 112 90 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
Probabilistic Dual Network Architecture Search on Graphs Yiren Zhao Duo Wang Xitong Gao Robert D. Mullins Pietro Lió M. Jamnik GNN AI4CE 51 27 0 21 Mar 2020
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017