Handcrafted Backdoors in Deep Neural Networks

Handcrafted Backdoors in Deep Neural Networks

8 June 2021

Sanghyun Hong

Nicholas Carlini

Papers citing "Handcrafted Backdoors in Deep Neural Networks"

10 / 10 papers shown

Title
Backdoor Attacks Against Patch-based Mixture of Experts Cedric Chan Jona te Lintelo S. Picek AAML MoE 96 0 0 03 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 74 0 0 22 Dec 2024
Context is the Key: Backdoor Attacks for In-Context Learning with Vision Transformers Gorka Abad S. Picek Lorenzo Cavallaro A. Urbieta SILM 37 0 0 06 Sep 2024
Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits Andis Draguns Andrew Gritsevskiy S. Motwani Charlie Rogers-Smith Jeffrey Ladish Christian Schroeder de Witt 40 2 0 03 Jun 2024
Black-box Backdoor Defense via Zero-shot Image Purification Yucheng Shi Mengnan Du Xuansheng Wu Zihan Guan Jin Sun Ninghao Liu 32 26 0 21 Mar 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
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification Gorka Abad Jing Xu Stefanos Koffas Behrad Tajalli S. Picek Mauro Conti AAML 45 5 0 03 Feb 2023
Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 16 75 0 09 Dec 2021
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 112 395 0 08 Jun 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 222 1,832 0 03 Feb 2017