Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation

30 August 2018

Papers citing "Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation"

50 / 81 papers shown

Title
Backdoor Attacks Against Patch-based Mixture of Experts Cedric Chan Jona te Lintelo S. Picek AAML MoE 244 0 0 03 May 2025
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain Yuanmin Huang Mi Zhang Zhaoxiang Wang Wenxuan Li Min Yang AAML AI4TS 64 0 0 12 Mar 2025
MADE: Graph Backdoor Defense with Masked Unlearning Xiao Lin amd Mingjie Li Mingjie Li Yisen Wang AAML 95 2 0 03 Jan 2025
Mind Your Questions! Towards Backdoor Attacks on Text-to-Visualization Models Shuaimin Li Yuanfeng Song Xuanang Chen Anni Peng Zhuoyue Wan Chen Jason Zhang Raymond Chi-Wing Wong SILM 31 0 0 09 Oct 2024
Persistent Backdoor Attacks in Continual Learning Zhen Guo Abhinav Kumar R. Tourani AAML 37 3 0 20 Sep 2024
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures Xinheng Xie Kureha Yamaguchi Margaux Leblanc Simon Malzard Varun Chhabra Victoria Nockles Yue-bo Wu AAML 47 0 0 08 Sep 2024
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors Victoria Graf Qin Liu Muhao Chen AAML 40 8 0 02 Apr 2024
Efficient Trigger Word Insertion Yueqi Zeng Ziqiang Li Pengfei Xia Lei Liu Bin Li AAML 23 5 0 23 Nov 2023
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks Ziqiang Li Hong Sun Pengfei Xia Beihao Xia Xue Rui Wei Zhang Qinglang Guo Bin Li AAML 43 8 0 14 Jun 2023
Evil from Within: Machine Learning Backdoors through Hardware Trojans Alexander Warnecke Julian Speith Janka Möller Konrad Rieck C. Paar AAML 26 3 0 17 Apr 2023
Poisoning Web-Scale Training Datasets is Practical Nicholas Carlini Matthew Jagielski Christopher A. Choquette-Choo Daniel Paleka Will Pearce Hyrum S. Anderson Andreas Terzis Kurt Thomas Florian Tramèr SILM 33 182 0 20 Feb 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 49 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 67 5 0 03 Feb 2023
Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks Xiaoyun Xu Oguzhan Ersoy S. Picek AAML 34 2 0 01 Feb 2023
Stealthy Backdoor Attack for Code Models Zhou Yang Bowen Xu Jie M. Zhang Hong Jin Kang Jieke Shi Junda He David Lo AAML 26 65 0 06 Jan 2023
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition Hasan Hammoud Shuming Liu Mohammad Alkhrashi Fahad Albalawi Guohao Li AAML 44 8 0 03 Jan 2023
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning Jianyi Zhang Fangjiao Zhang Qichao Jin Zhiqiang Wang Xiaodong Lin X. Hei AAML FedML 38 1 0 28 Dec 2022
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning Virat Shejwalkar Lingjuan Lyu Amir Houmansadr AAML 32 10 0 01 Nov 2022
Training set cleansing of backdoor poisoning by self-supervised representation learning H. Wang Soroush Karami Ousmane Amadou Dia H. Ritter E. Emamjomeh-Zadeh J. Chen Zhen Xiang D. J. Miller G. Kesidis SSL 35 4 0 19 Oct 2022
Solving the Capsulation Attack against Backdoor-based Deep Neural Network Watermarks by Reversing Triggers Fangqi Li Shilin Wang Yun Zhu AAML 18 1 0 30 Aug 2022
Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models Yulong Wang Minghui Zhao Shenghong Li Xinnan Yuan W. Ni 18 15 0 19 Aug 2022
Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons Mingyuan Fan Yang Liu Cen Chen Ximeng Liu Wenzhong Guo AAML 21 4 0 13 Aug 2022
FRIB: Low-poisoning Rate Invisible Backdoor Attack based on Feature Repair Hui Xia Xiugui Yang X. Qian Rui Zhang AAML 32 0 0 26 Jul 2022
Backdoor Attacks on Crowd Counting Yuhua Sun Tailai Zhang Xingjun Ma Pan Zhou Jian Lou Zichuan Xu Xing Di Yu Cheng Lichao AAML 19 15 0 12 Jul 2022
Transferable Graph Backdoor Attack Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe Damith C. Ranasinghe S. Kanhere AAML 49 36 0 21 Jun 2022
Enhancing Clean Label Backdoor Attack with Two-phase Specific Triggers Nan Luo Yuan-zhang Li Yajie Wang Shan-Hung Wu Yu-an Tan Quan-xin Zhang AAML 20 11 0 10 Jun 2022
A temporal chrominance trigger for clean-label backdoor attack against anti-spoof rebroadcast detection Wei Guo B. Tondi Mauro Barni AAML 19 13 0 02 Jun 2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems Zeyan Liu Fengjun Li Jingqiang Lin Zhu Li Bo Luo AAML 15 1 0 31 May 2022
WeDef: Weakly Supervised Backdoor Defense for Text Classification Lesheng Jin Zihan Wang Jingbo Shang AAML 37 14 0 24 May 2022
Energy-Latency Attacks via Sponge Poisoning Antonio Emanuele Cinà Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo SILM 57 29 0 14 Mar 2022
Adversarial Attacks and Defense Methods for Power Quality Recognition Jiwei Tian Buhong Wang Jing Li Zhen Wang Mete Ozay AAML 28 0 0 11 Feb 2022
Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks Mingfu Xue S. Ni Ying-Chang Wu Yushu Zhang Jian Wang Weiqiang Liu AAML 34 13 0 31 Jan 2022
Backdoor Defense with Machine Unlearning Yang Liu Mingyuan Fan Cen Chen Ximeng Liu Zhuo Ma Li Wang Jianfeng Ma AAML 32 74 0 24 Jan 2022
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios Zhen Xiang David J. Miller G. Kesidis AAML 39 47 0 20 Jan 2022
Safe Distillation Box Jingwen Ye Yining Mao Mingli Song Xinchao Wang Cheng Jin Xiuming Zhang AAML 24 13 0 05 Dec 2021
A General Framework for Defending Against Backdoor Attacks via Influence Graph Xiaofei Sun Jiwei Li Xiaoya Li Ziyao Wang Tianwei Zhang Han Qiu Fei Wu Chun Fan AAML TDI 24 5 0 29 Nov 2021
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks Xiangyu Qi Tinghao Xie Ruizhe Pan Jifeng Zhu Yong-Liang Yang Kai Bu AAML 35 57 0 25 Nov 2021
Backdoor Pre-trained Models Can Transfer to All Lujia Shen S. Ji Xuhong Zhang Jinfeng Li Jing Chen Jie Shi Chengfang Fang Jianwei Yin Ting Wang AAML SILM 33 120 0 30 Oct 2021
Adversarial Neuron Pruning Purifies Backdoored Deep Models Dongxian Wu Yisen Wang AAML 51 275 0 27 Oct 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data Yige Li X. Lyu Nodens Koren Lingjuan Lyu Bo Li Xingjun Ma OnRL 31 322 0 22 Oct 2021
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 99 50 0 13 Oct 2021
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training J. Breier Xiaolu Hou Martín Ochoa Jesus Solano SILM AAML 39 8 0 23 Sep 2021
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain Hasan Hammoud Guohao Li AAML 20 13 0 12 Sep 2021
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis Esha Sarkar Michail Maniatakos 34 3 0 14 Aug 2021
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning Jinyuan Jia Yupei Liu Neil Zhenqiang Gong SILM SSL 44 152 0 01 Aug 2021
Topological Detection of Trojaned Neural Networks Songzhu Zheng Yikai Zhang H. Wagner Mayank Goswami Chao Chen AAML 32 40 0 11 Jun 2021
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution Fanchao Qi Yuan Yao Sophia Xu Zhiyuan Liu Maosong Sun SILM 33 126 0 11 Jun 2021
A Master Key Backdoor for Universal Impersonation Attack against DNN-based Face Verification Wei Guo B. Tondi Mauro Barni AAML 30 19 0 01 May 2021
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics J. Hayase Weihao Kong Raghav Somani Sewoong Oh AAML 29 150 0 22 Apr 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 26 18 0 16 Apr 2021