Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models

19 August 2022

Yulong Wang

Papers citing "Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models"

28 / 28 papers shown

Title
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger Yiming Li Mingyan Zhu Junfeng Guo Tao Wei Shu-Tao Xia Zhan Qin AAML 109 1 0 03 Dec 2023
An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep Learning Berrak Sisman Junichi Yamagishi Simon King Haizhou Li BDL 113 326 0 09 Aug 2020
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections Angelos Chatzimparmpas Rafael M. Martins Andreas Kerren 58 134 0 17 Feb 2020
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 248 2,153 0 08 Oct 2019
Hidden Trigger Backdoor Attacks Aniruddha Saha Akshayvarun Subramanya Hamed Pirsiavash 89 627 0 30 Sep 2019
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors Gilad Cohen Guillermo Sapiro Raja Giryes TDI 48 128 0 15 Sep 2019
Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems Bao Gia Doan Ehsan Abbasnejad Damith C. Ranasinghe AAML 60 66 0 09 Aug 2019
Why ResNet Works? Residuals Generalize Fengxiang He Tongliang Liu Dacheng Tao 55 251 0 02 Apr 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 122 1,013 0 21 Feb 2019
STRIP: A Defence Against Trojan Attacks on Deep Neural Networks Yansong Gao Chang Xu Derui Wang Shiping Chen Damith C. Ranasinghe Surya Nepal AAML 77 814 0 18 Feb 2019
Universal Adversarial Training A. Mendrik Mahyar Najibi Zheng Xu John P. Dickerson L. Davis Tom Goldstein AAML OOD 92 190 0 27 Nov 2018
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering Bryant Chen Wilka Carvalho Wenjie Li Heiko Ludwig Benjamin Edwards Chengyao Chen Ziqiang Cao Biplav Srivastava AAML 92 800 0 09 Nov 2018
Spectral Signatures in Backdoor Attacks Brandon Tran Jerry Li Aleksander Madry AAML 91 795 0 01 Nov 2018
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation C. Liao Haoti Zhong Anna Squicciarini Sencun Zhu David J. Miller SILM 87 315 0 30 Aug 2018
Object Detection with Deep Learning: A Review Zhong-Qiu Zhao Peng Zheng Shou-tao Xu Xindong Wu ObjD 120 4,017 0 15 Jul 2018
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks Kang Liu Brendan Dolan-Gavitt S. Garg AAML 69 1,042 0 30 May 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 384 11,905 0 11 Jan 2018
Generating Adversarial Examples with Adversarial Networks Chaowei Xiao Yue Liu Jun-Yan Zhu Warren He M. Liu Basel Alomair GAN AAML 115 899 0 08 Jan 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu Basel Alomair AAML SILM 143 1,853 0 15 Dec 2017
One pixel attack for fooling deep neural networks Jiawei Su Danilo Vasconcellos Vargas Kouichi Sakurai AAML 131 2,326 0 24 Oct 2017
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation Yulei Niu Zhiwu Lu Ji-Rong Wen Tao Xiang Shih-Fu Chang VLM 64 68 0 05 Sep 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 130 1,782 0 22 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 317 12,131 0 19 Jun 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 177 2,729 0 19 May 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks Weilin Xu David Evans Yanjun Qi AAML 87 1,271 0 04 Apr 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 325 20,086 0 07 Oct 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,583 0 16 Aug 2016
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 154 4,905 0 14 Nov 2015