Backdoor Attacks on Time Series: A Generative Approach

15 November 2022

Papers citing "Backdoor Attacks on Time Series: A Generative Approach"

30 / 30 papers shown

Title
Backdoor Attacks on Crowd Counting Yuhua Sun Tailai Zhang Xingjun Ma Pan Zhou Jian Lou Zichuan Xu Xing Di Yu Cheng Lichao AAML 42 15 0 12 Jul 2022
Few-Shot Backdoor Attacks on Visual Object Tracking Yiming Li Haoxiang Zhong Xingjun Ma Yong Jiang Shutao Xia AAML 60 54 0 31 Jan 2022
Adversarial Neuron Pruning Purifies Backdoored Deep Models Dongxian Wu Yisen Wang AAML 79 282 0 27 Oct 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data Yige Li X. Lyu Nodens Koren Lingjuan Lyu Yue Liu Xingjun Ma OnRL 66 333 0 22 Oct 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 89 36 0 15 Jul 2021
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection Yan Liang Jiayi Hua Haoyu Wang Chunyang Chen Yunxin Liu FedML SILM 95 79 0 18 Jan 2021
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks Yige Li Lingjuan Lyu Nodens Koren X. Lyu Yue Liu Xingjun Ma AAML FedML 78 436 0 15 Jan 2021
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification Shuyang Cheng Yingqi Liu Shiqing Ma Xinming Zhang AAML 58 157 0 21 Dec 2020
Invisible Backdoor Attack with Sample-Specific Triggers Yuezun Li Yiming Li Baoyuan Wu Longkang Li Ran He Siwei Lyu AAML DiffM 76 477 0 07 Dec 2020
Input-Aware Dynamic Backdoor Attack A. Nguyen Anh Tran AAML 65 429 0 16 Oct 2020
Can Adversarial Weight Perturbations Inject Neural Backdoors? Siddhant Garg Adarsh Kumar Vibhor Goel Yingyu Liang AAML 88 88 0 04 Aug 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Yunfei Liu Xingjun Ma James Bailey Feng Lu AAML 88 512 0 05 Jul 2020
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks Ruixiang Tang Mengnan Du Ninghao Liu Fan Yang Xia Hu AAML 52 186 0 15 Jun 2020
Scalable Backdoor Detection in Neural Networks Haripriya Harikumar Vuong Le Santu Rana Sourangshu Bhattacharya Sunil R. Gupta Svetha Venkatesh 83 24 0 10 Jun 2020
Blind Backdoors in Deep Learning Models Eugene Bagdasaryan Vitaly Shmatikov AAML FedML SILM 81 304 0 08 May 2020
Defending against Backdoor Attack on Deep Neural Networks Kaidi Xu Sijia Liu Pin-Yu Chen Pu Zhao Xinyu Lin Xue Lin AAML 57 48 0 26 Feb 2020
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models Shuo Wang Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen Tianle Chen AAML 47 103 0 10 Jan 2020
Label-Consistent Backdoor Attacks Alexander Turner Dimitris Tsipras Aleksander Madry AAML 46 389 0 05 Dec 2019
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data Xinyun Chen Wenxiao Wang Chris Bender Yiming Ding R. Jia Yue Liu D. Song AAML 66 107 0 17 Nov 2019
Backdooring Convolutional Neural Networks via Targeted Weight Perturbations Jacob Dumford Walter J. Scheirer AAML 66 119 0 07 Dec 2018
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks Kang Liu Brendan Dolan-Gavitt S. Garg AAML 61 1,032 0 30 May 2018
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality Xingjun Ma Yue Liu Yisen Wang S. Erfani S. Wijewickrema Grant Schoenebeck D. Song Michael E. Houle James Bailey AAML 105 738 0 08 Jan 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu D. Song AAML SILM 108 1,833 0 15 Dec 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 99 1,770 0 22 Aug 2017
Deep Learning for Time-Series Analysis J. Gamboa AI4TS 58 441 0 07 Jan 2017
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline Zhiguang Wang Weizhong Yan Tim Oates AI4TS 60 1,652 0 20 Nov 2016
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 264 19,929 0 07 Oct 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 320 19,609 0 09 Mar 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 243 19,017 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 249 14,912 1 21 Dec 2013