Rethinking the Reverse-engineering of Trojan Triggers

27 October 2022

Papers citing "Rethinking the Reverse-engineering of Trojan Triggers"

47 / 47 papers shown

Title
MADE: Graph Backdoor Defense with Masked Unlearning Xiao Lin amd Mingjie Li Mingjie Li Yisen Wang AAML 143 2 0 03 Jan 2025
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning Zhenting Wang Juan Zhai Shiqing Ma AAML 153 100 0 26 May 2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense Guangyu Shen Yingqi Liu Guanhong Tao Qiuling Xu Zhuo Zhang Shengwei An Shiqing Ma Xinming Zhang AAML 74 37 0 11 Feb 2022
Backdoor Defense via Decoupling the Training Process Kunzhe Huang Yiming Li Baoyuan Wu Zhan Qin Kui Ren AAML FedML 51 193 0 05 Feb 2022
Anti-Backdoor Learning: Training Clean Models on Poisoned Data Yige Li X. Lyu Nodens Koren Lingjuan Lyu Yue Liu Xingjun Ma OnRL 68 334 0 22 Oct 2021
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion Shijie Zhang Hongzhi Yin Tong Chen Zi Huang Quoc Viet Hung Nguyen Li-zhen Cui FedML AAML 60 96 0 21 Oct 2021
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 124 181 0 14 Oct 2021
Adversarial Unlearning of Backdoors via Implicit Hypergradient Yi Zeng Si-An Chen Won Park Z. Morley Mao Ming Jin R. Jia AAML 117 176 0 07 Oct 2021
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning Jinyuan Jia Yupei Liu Neil Zhenqiang Gong SILM SSL 79 158 0 01 Aug 2021
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger Fanchao Qi Mukai Li Yangyi Chen Zhengyan Zhang Zhiyuan Liu Yasheng Wang Maosong Sun SILM 64 229 0 26 May 2021
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models Wenkai Yang Lei Li Zhiyuan Zhang Xuancheng Ren Xu Sun Bin He SILM 81 153 0 29 Mar 2021
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization Guangyu Shen Yingqi Liu Guanhong Tao Shengwei An Qiuling Xu Shuyang Cheng Shiqing Ma Xinming Zhang AAML 90 118 0 09 Feb 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 80 436 0 15 Jan 2021
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification Shuyang Cheng Yingqi Liu Shiqing Ma Xinming Zhang AAML 67 157 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 76 481 0 07 Dec 2020
Input-Aware Dynamic Backdoor Attack A. Nguyen Anh Tran AAML 68 430 0 16 Oct 2020
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder Alvin Chan Yi Tay Yew-Soon Ong Aston Zhang SILM 57 57 0 06 Oct 2020
Understanding the Role of Individual Units in a Deep Neural Network David Bau Jun-Yan Zhu Hendrik Strobelt Àgata Lapedriza Bolei Zhou Antonio Torralba GAN 65 449 0 10 Sep 2020
Graph Backdoor Zhaohan Xi Ren Pang S. Ji Ting Wang AI4CE AAML 51 171 0 21 Jun 2020
FaceHack: Triggering backdoored facial recognition systems using facial characteristics Esha Sarkar Hadjer Benkraouda Michail Maniatakos AAML 54 39 0 20 Jun 2020
Backdoor Attacks to Graph Neural Networks Zaixi Zhang Jinyuan Jia Binghui Wang Neil Zhenqiang Gong GNN 59 216 0 19 Jun 2020
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements Xiaoyi Chen A. Salem Dingfan Chen Michael Backes Shiqing Ma Qingni Shen Zhonghai Wu Yang Zhang SILM 65 238 0 01 Jun 2020
Dynamic Backdoor Attacks Against Machine Learning Models A. Salem Rui Wen Michael Backes Shiqing Ma Yang Zhang AAML 116 276 0 07 Mar 2020
Label-Consistent Backdoor Attacks Alexander Turner Dimitris Tsipras Aleksander Madry AAML 46 389 0 05 Dec 2019
Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy Min Du R. Jia D. Song AAML 72 176 0 16 Nov 2019
Detecting AI Trojans Using Meta Neural Analysis Xiaojun Xu Qi Wang Huichen Li Nikita Borisov Carl A. Gunter Yue Liu 81 323 0 08 Oct 2019
Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems Bao Gia Doan Ehsan Abbasnejad Damith C. Ranasinghe AAML 45 66 0 09 Aug 2019
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems Wenbo Guo Lun Wang Masashi Sugiyama Min Du D. Song 68 229 0 02 Aug 2019
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs Soheil Kolouri Aniruddha Saha Hamed Pirsiavash Heiko Hoffmann AAML 57 234 0 26 Jun 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 75 809 0 18 Feb 2019
A new Backdoor Attack in CNNs by training set corruption without label poisoning Mauro Barni Kassem Kallas B. Tondi AAML 103 355 0 12 Feb 2019
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 208 292 0 02 Dec 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 82 795 0 09 Nov 2018
Spectral Signatures in Backdoor Attacks Brandon Tran Jerry Li Aleksander Madry AAML 88 788 0 01 Nov 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 97 1,913 0 02 Jul 2018
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks Kang Liu Brendan Dolan-Gavitt S. Garg AAML 63 1,032 0 30 May 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu D. Song AAML SILM 120 1,837 0 15 Dec 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 113 1,772 0 22 Aug 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,864 0 22 May 2017
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 133 2,527 0 26 Oct 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 332 7,980 0 23 May 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,180 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,099 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,509 0 01 Sep 2014